AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.
This solution is affordable and there is an option to pay for the solution based on your usage.
AWS Glue is quite costly, especially for small organizations.
This solution is affordable and there is an option to pay for the solution based on your usage.
AWS Glue is quite costly, especially for small organizations.
Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka.
You have to pay additional for one or two features.
Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance.
You have to pay additional for one or two features.
Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance.
Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform.
Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to make data-driven operational decisions.
Palantir Foundry has different pricing models that can be negotiated.
It's expensive.
Palantir Foundry has different pricing models that can be negotiated.
It's expensive.
Grafana is an open-source visualization and analytics platform that stands out in the field of monitoring solutions. Grafana is widely recognized for its powerful, easy-to-set-up dashboards and visualizations. Grafana supports integration with a wide array of data sources and tools, including Prometheus, InfluxDB, MySQL, Splunk, and Elasticsearch, enhancing its versatility. Grafana has open-source and cloud options; the open-source version is a good choice for organizations with the resources to manage their infrastructure and want more control over their deployment. The cloud service is a good choice if you want a fully managed solution that is easy to start with and scale.
Grafana is free and open source.
I use the open source model so it is free.
Grafana is free and open source.
I use the open source model so it is free.
Denodo is a leading data integration, management, and delivery platform that uses a logical approach to enable data science, hybrid and multi-cloud data integration, self-service BI, and enterprise data services. Organizations of different sizes across various industries utilize the product to get above the data silos. The solution offers organizations the freedom to migrate data to the cloud, or logically unify data warehouses and data lakes, without affecting business. This can ultimately result in the evolution of data strategies.
I don't know the actual cost, but it's tens of thousands of dollars per month.
The licensing should be improved, as the cost per connector is quite expensive.
I don't know the actual cost, but it's tens of thousands of dollars per month.
The licensing should be improved, as the cost per connector is quite expensive.
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
There are additional costs associated with the integrator.
The licensing costs is around 10,000 dollars.
There are additional costs associated with the integrator.
The licensing costs is around 10,000 dollars.
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.
The pricing falls in the medium range.
The pricing falls in the medium range.
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud.
You only pay for what you use.
Compared to other cloud platforms, it is manageable and not very expensive.
You only pay for what you use.
Compared to other cloud platforms, it is manageable and not very expensive.
Currently, I am using an open-source version so I don't know much about the price of this solution.
The solution is free and open-source.
Currently, I am using an open-source version so I don't know much about the price of this solution.
The solution is free and open-source.
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
The solution operates on a serverless model so you only pay for data that you consume.
I am happy with what they are charging and how they charge it, especially because they charge you per query, and not per series.
The solution operates on a serverless model so you only pay for data that you consume.
I am happy with what they are charging and how they charge it, especially because they charge you per query, and not per series.
Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large-scale systems.
We are paying roughly $5,000 a month.
The cost of the solution is per volume of data ingested.
We are paying roughly $5,000 a month.
The cost of the solution is per volume of data ingested.
Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application.
Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.
We chose AWS because of its cost and stability.
There was no license needed to use this solution.
We chose AWS because of its cost and stability.
There was no license needed to use this solution.
For the actual costs, I encourage users to view the pricing page on the Azure site for details.
I think the solution's pricing is ok compared to other cloud devices.
For the actual costs, I encourage users to view the pricing page on the Azure site for details.
I think the solution's pricing is ok compared to other cloud devices.
Faiss is a powerful library designed for efficient similarity search and nearest neighbor retrieval in large-scale datasets. It has gained popularity across various domains including image and text processing, recommendation systems, and natural language processing.
Users have praised Faiss for its exceptional speed, scalability, and effectiveness in handling high-dimensional data. One of its key strengths is its ease of integration with different programming languages, making it accessible to a wide range of developers.
Faiss also offers extensive support for various similarity measures, allowing users to customize their search algorithms. Its ability to handle large-scale datasets and its comprehensive documentation and community support are highly valued features.
It is an open-source tool.
It is an open-source tool.
The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise.
The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise.
Milvus is a powerful platform designed to efficiently store and retrieve large-scale vectors or embeddings for a variety of applications. It has gained popularity among users for its ability to handle tasks such as similarity search, recommendation systems, image and video retrieval, and natural language processing. With its fast and accurate search capabilities, Milvus offers a reliable solution for industries across the board.
Milvus also stands out for its ability to handle large-scale data. Users appreciate its scalability, which allows them to store and retrieve vectors or embeddings of any size. This flexibility makes Milvus suitable for a wide range of industries and use cases, from e-commerce to healthcare.
Milvus is an open-source solution.
Milvus is an open-source solution.
Pinecone is a powerful tool designed to efficiently store and retrieve vector embeddings for a wide range of applications. It has been highly praised by users for its scalability, speed, and ease of integration with existing workflows. With Pinecone, users can perform tasks such as similarity search, recommendation systems, and natural language processing with ease.
One of the key strengths of Pinecone is its ability to handle large-scale datasets and provide real-time results. Users have found this feature to be highly valuable, as it allows them to process and analyze extensive amounts of data without compromising on performance. This makes Pinecone an ideal choice for data analysis and retrieval tasks.
Pinecone offers efficient search capabilities. Users appreciate how Pinecone enables them to quickly and accurately search through vast amounts of data, making it a valuable tool for various applications. Additionally, Pinecone seamlessly integrates with existing systems and APIs, ensuring a smooth and hassle-free implementation process.
Algolia helps businesses across industries quickly create relevant, scalable, and lightning fast search and discovery experiences. Algolia’s mission is to make every search interaction meaningful and rewarding. Our hosted platform reduces the complexity of building relevant digital experiences. More than 7,500 companies like WW, Lacoste, Twitch, Medium and Stripe rely on Algolia’s enterprise-grade APIs to manage over 60 billion search queries a month.
Founded in 2012, Algolia is backed by $74M in funding from Accel Partners, Alven Capital, Point Nine Capital and Storm Ventures. The team is headquartered in San Francisco with offices in Paris, London, New York, and Atlanta. To learn more, visit www.algolia.com.
We are currently on a contract with Algolia for licensing and price.
We are currently on a contract with Algolia for licensing and price.
Qdrant is a powerful tool designed to efficiently organize and search large volumes of data. It is particularly useful for tasks such as data indexing, similarity search, and recommendation systems.
With its fast and accurate results, Qdrant is suitable for various applications including e-commerce, content management, and data analysis.
The intuitive interface and straightforward setup process are also highlighted as key advantages, making Qdrant accessible to users with varying levels of technical expertise.
Watson Discovery is an award-winning enterprise search and AI search technology that breaks open data silos and retrieves specific answers to your questions while analyzing trends and relationships buried in enterprise data. Watson Discovery applies the latest breakthroughs in machine learning, including natural language processing capabilities, and is easily trained on the language of your domain. Unlike competitors, Watson Discovery can be deployed on any cloud or on-premises environment.
Cost-wise, it is very reasonable because it is cloud-based.
IBM Watson Discovery is an expensive product.
Cost-wise, it is very reasonable because it is cloud-based.
IBM Watson Discovery is an expensive product.
Lucidworks builds AI-powered search and discovery applications for some of the world's largest brands. Fusion, Lucidworks' advanced development platform, provides the enterprise-grade capabilities needed to design, develop and deploy intelligent search apps at any scale.
Weaviate is a powerful tool that enhances data search and analysis capabilities. Users have reported utilizing Weaviate for various purposes such as improving search functionality, organizing and connecting data, and enabling more efficient data exploration and retrieval.
Weaviate's seamless integration with different platforms is also highlighted as a valuable feature, as it allows for easy collaboration and data sharing across various systems.
Attivio is the leading cognitive search & insight company. Our Fortune 500 clients rely on us to drive innovation, operational efficiencies, and improved business outcomes. Our solutions provide industry-leading natural language processing, machine learning, analytics, and knowledge graphing capabilities at scale.
Our Enterprise Search Essentials delivers capabilities that enhance SharePoint to behave more like internets. By leveraging it to improve your intranet, you can drive adoption (more usage, more users), increase user satisfaction, and improve productivity without the need for costly and time-consuming custom development. Software can be implemented together, or individually, and each addresses a specific internet capability.
Seeing the un-seeable can be a challenge for IT. With billions of events to collect and review from a variety of sources, both on premises and in the cloud, it’s difficult to find relevant data and make sense of it. And in the event of a security breach, either internal or external, the ability to locate where the breach originated and what was accessed can make a world of difference.