Best Data Management Software for Elastic Cloud
View:
Compare the Top Data Management Software that integrates with Elastic Cloud as of September 2025
Sort By:
This a list of Data Management software that integrates with Elastic Cloud. Use the filters on the left to add additional filters for products that have integrations with Elastic Cloud. View the products that work with Elastic Cloud in the table below.
What is Data Management Software for Elastic Cloud?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for Elastic Cloud currently available using the table below. This list is updated regularly.
-
1
Google Cloud Platform
Google
Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.Starting Price: Free ($300 in free credits) -
2
Elasticsearch
Elastic
Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world. -
3
Clockspring
Clockspring
Clockspring is the perfect balance between low-code automation tools and custom development. Traditional integration options are slow, fragile, and expensive. Clockspring delivers the same flexibility you get with custom programming but without the need to write any code. Maximize your existing technology and let your team focus on driving your business forward. Automation is changing the way that businesses operate, collaborate, and react to change. Clockspring's integration and automation platform respond to change in record time. Improve performance and accuracy by 30 - 50% by providing accurate data into the tools your analysts use. Connect any API, database, COTS product, or even your existing custom applications. Merge your on-prem, hybrid, and cloud tech stack into a single combined system instead of a series of data silos. Clockspring can do about 95% of what a programmer can do 10% of the time.Starting Price: $799/mo -
4
HStreamDB
EMQ
A streaming database is purpose-built to ingest, store, process, and analyze massive data streams. It is a modern data infrastructure that unifies messaging, stream processing, and storage to help get value out of your data in real-time. Ingest massive amounts of data continuously generated from various sources, such as IoT device sensors. Store millions of data streams reliably in a specially designed distributed streaming data storage cluster. Consume data streams in real-time as fast as from Kafka by subscribing to topics in HStreamDB. With the permanent data stream storage, you can playback and consume data streams anytime. Process data streams based on event-time with the same familiar SQL syntax you use to query data in a relational database. You can use SQL to filter, transform, aggregate, and even join multiple data streams.Starting Price: Free -
5
Speedb
Speedb
The next-generation key-value storage engine.bSpeedb is 100% RocksDB compatible enhancing stability, efficiency, and overall performance. Join the Hive, Speedb’s open-source community, to interact, improve, and share knowledge and best practices on RocksDB. Speedb is a compatible alternative for LevelDB and RocksDB users who would like to take their application to the next level. When using event streaming platforms like Kafka, Flink, Spark, Splunk, Elastic, or others, consider using Speedb to enhance its performance. The increase in metadata in modern data sets is causing significant performance issues for many applications. With Speedb you can keep costs low and ensure your applications continue to run smoothly even under heavy loads. When it comes to making a choice to upgrade or deploy a new key-value store with your platform, Speedb is up for the challenge. By seamlessly integrating Speedb's advanced key-value storage engine with your projects, you'll experience immediate relief.Starting Price: Free -
6
Peaka
Peaka
Integrate all your data sources, relational and NoSQL databases, SaaS tools, and APIs. Query them as a single data source immediately. Process data wherever it is. Query, cache, and blend data from different sources. Use webhooks to ingest streaming data from Kafka, Segment, etc., into the Peaka BI Table. Replace nightly one-time batch ingestion with real-time data access. Treat every data source like a relational database. Convert any API to a table, and blend and join it with your other data sources. Use the familiar SQL to run queries in NoSQL databases. Retrieve data from both SQL and NoSQL databases utilizing the same skill set. Query and filter your consolidated data to form new data sets. Expose them with APIs to serve other apps and systems. Do not get bogged down in scripts and logs while setting up your data stack. Eliminate the burden of building, managing, and maintaining ETL pipelines.Starting Price: $1 per month -
7
5X
5X
5X is an all-in-one data platform that provides everything you need to centralize, clean, model, and analyze your data. Designed to simplify data management, 5X offers seamless integration with over 500 data sources, ensuring uninterrupted data movement across all your systems with pre-built and custom connectors. The platform encompasses ingestion, warehousing, modeling, orchestration, and business intelligence, all rendered in an easy-to-use interface. 5X supports various data movements, including SaaS apps, databases, ERPs, and files, automatically and securely transferring data to data warehouses and lakes. With enterprise-grade security, 5X encrypts data at the source, identifying personally identifiable information and encrypting data at a column level. The platform is designed to reduce the total cost of ownership by 30% compared to building your own platform, enhancing productivity with a single interface to build end-to-end data pipelines.Starting Price: $350 per month -
8
Lyftrondata
Lyftrondata
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse. -
9
Warp 10
SenX
Warp 10 is a modular open source platform that collects, stores, and analyzes data from sensors. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 is both a time series database and a powerful analytics environment, allowing you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The analysis environment can be implemented within a large ecosystem of software components such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. It can also access data stored in many existing solutions, relational or NoSQL databases, search engines and S3 type object storage system. -
10
KeyLines
Cambridge Intelligence
Build game-changing graph visualization products that turn connected data into insight. Harness JavaScript’s power and flexibility to quickly and easily build graph visualization applications that can be deployed anywhere, to anyone. KeyLines is a completely flexible way to build your graph visualization application. Build interactive graph visualization tools to reveal threats and hidden insight. The KeyLines JavaScript graph visualization toolkit lets you build applications specifically for your users, your data, and the questions you need to answer. It fits with any browser, device, server, or database and comes with clear tutorials, demos, and API documentation. Combined with our developer support, you’ll be uncovering network insight in no time. KeyLines makes it easy to build high-performance JavaScript graph visualization tools that work anywhere. They harness HTML5 and WebGL graphics rendering and thoughtfully crafted code to give users fast and insightful visualization. -
11
ReGraph
Cambridge Intelligence
Build game-changing React graph visualization products that turn connected data into insight. With ReGraph’s simple data-driven API, it’s quick and easy to add graph visualizations to your React applications. Ship custom, high-performance graph visualization to your users, wherever they are. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling, and well-documented props. You can choose where your data is stored, and how the component looks and behaves. It works in any browser, on any device, and integrates readily with any server or database. It’s a completely flexible way to build a custom React graph visualization application. ReGraph makes it easy to build powerful React graph visualization applications. Everything has been carefully optimized for performance, from its layout algorithms to its supercharged graphics rendering engine. -
12
Kleene
Kleene
Easy data management to power your business. Connect, transform and visualize your data fast and in a scalable way. Kleene makes it easy to access all the data that lives in your SaaS software. Once the data is extracted, it is stored and organized in a cloud data warehouse. The data is cleaned and organized for analysis purposes. Easy to use dashboards to gain insights and make data-driven decisions to power your growth. Never waste time again building your own data pipelines. 150+ pre-built data connectors library. On-demand custom connector build. Always work with the most up-to-date data. Set up your data warehouse in minutes with no engineering required. Accelerate your data model building thanks to our unique transformation tooling. Best-in-class data pipeline observability and management. Access Kleene’s industry-leading dashboard templates. Level up your dashboards using our wide industry expertise. -
13
IBM watsonx.data
IBM
Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more. -
14
HPE Ezmeral
Hewlett Packard Enterprise
Run, manage, control and secure the apps, data and IT that run your business, from edge to cloud. HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations. Modernize your apps. Simplify your Ops. And harness data to go from insights to impact. Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases. -
15
Precisely Ironstream
Precisely
Integrate mainframe and IBM i systems into leading IT analytics and operations platforms for an enterprise-wide view to support your digital business. In today’s digital, always-on world, IT is arguably the most important department across your organization. A single security breach or service outage can bring your business to a standstill. But knowing what’s happening across an increasingly complex landscape of infrastructure and apps, and resolving issues before they impact the business, is a daunting task. The good news is that there are several platforms to help you monitor IT security and operations across the enterprise in real-time, and take action fast. The challenge, however, is that mainframe or IBM i systems aren’t natively supported by these modern tools. So, if you rely on these critical servers to run your business and you’re managing them in isolation, you have a dangerous blind spot. -
16
doolytic
doolytic
doolytic is leading the way in big data discovery, the convergence of data discovery, advanced analytics, and big data. doolytic is rallying expert BI users to the revolution in self-service exploration of big data, revealing the data scientist in all of us. doolytic is an enterprise software solution for native discovery on big data. doolytic is based on best-of-breed, scalable, open-source technologies. Lightening performance on billions of records and petabytes of data. Structured, unstructured and real-time data from any source. Sophisticated advanced query capabilities for expert users, Integration with R for advanced and predictive applications. Search, analyze, and visualize data from any format, any source in real-time with the flexibility of Elastic. Leverage the power of Hadoop data lakes with no latency and concurrency issues. doolytic solves common BI problems and enables big data discovery without clumsy and inefficient workarounds. -
17
NVISIONx
NVISIONx
NVISIONx data risk Intelligence platform enables companies to gain control of their enterprise data to reduce data risks, compliance scopes, and storage costs. Data is growing out of control and getting worse every day. Business and security leaders are overwhelmed and can’t protect what they don’t know. More controls won’t fix the problem. Rich and unlimited analysis to support over 150 business use cases to empower data owners and cyber professionals to proactively manage their data from cradle to grave. First, categorize or group data that is redundant, outdated, or trivial (ROT) and see what data can be defensibly disposed of to reduce the classification scope (and storage costs). Then, contextually classify all remaining data using a number of easy-to-use data analytics techniques to enable the data owner to be their own data analyst! Data identified as useless and unwanted can then go through legal and records retention reviews. -
18
Baidu Palo
Baidu AI Cloud
Palo helps enterprises to create the PB-level MPP architecture data warehouse service within several minutes and import the massive data from RDS, BOS, and BMR. Thus, Palo can perform the multi-dimensional analytics of big data. Palo is compatible with mainstream BI tools. Data analysts can analyze and display the data visually and gain insights quickly to assist decision-making. It has the industry-leading MPP query engine, with column storage, intelligent index,and vector execution functions. It can also provide in-library analytics, window functions, and other advanced analytics functions. You can create a materialized view and change the table structure without the suspension of service. It supports flexible and efficient data recovery. -
19
Tarsal
Tarsal
Tarsal's infinite scalability means as your organization grows, Tarsal grows with you. Tarsal makes it easy for you to switch where you're sending data - today's SIEM data is tomorrow's data lake data; all with one click. Keep your SIEM and gradually migrate analytics over to a data lake. You don't have to rip anything out to use Tarsal. Some analytics just won't run on your SIEM. Use Tarsal to have query-ready data on a data lake. Your SIEM is one of the biggest line items in your budget. Use Tarsal to send some of that data to your data lake. Tarsal is the first highly scalable ETL data pipeline built for security teams. Easily exfil terabytes of data in just just a few clicks, with instant normalization, and route that data to your desired destination. -
20
Observo AI
Observo AI
Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval. -
21
Radicalbit
Radicalbit
Radicalbit Natural Analytics (RNA) is a DataOps platform for Streaming Data Integration and Real-time Advanced Analytics. Choose the easiest way to deliver data at the right time in the right hands. RNA provides users with the latest technologies – in self service mode – for real-time data processing, taking advantage of Artificial Intelligence solutions for extracting value from data. It automates the labor-intensive process of data analysis and helps convey important findings and insights in understandable formats. Have a Real-time situational awareness and timely insights to respond quickly and appropriately. Achieve new levels of efficiency and optimization and guarantee collaboration between siloed teams. Manage and monitor the models from a centralized view, and deploy your evolving models in seconds. No downtime.
- Previous
- You're on page 1
- Next