Best Real-Time Analytic Databases for Hadoop
View:
Compare the Top Real-Time Analytic Databases that integrate with Hadoop as of August 2025
Sort By:
This a list of Real-Time Analytic Databases that integrate with Hadoop. Use the filters on the left to add additional filters for products that have integrations with Hadoop. View the products that work with Hadoop in the table below.
What are Real-Time Analytic Databases for Hadoop?
Real-time analytics databases are database systems that enable businesses to access and analyze data in near real-time. These systems allow companies to make decisions quickly based on up-to-date information, rather than relying on periodic reports from other databases. Real-time analytic databases typically have powerful processors capable of handling complex queries and vast amounts of data. They also support modern features such as distributed computing, automated data management, secure sharing of sensitive information, and elastic scalability. Such advanced capabilities help organizations gain deeper insights into their customers' behavior so they can take appropriate action swiftly. Compare and read user reviews of the best Real-Time Analytic Databases for Hadoop currently available using the table below. This list is updated regularly.
-
1
StarTree
StarTree
StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. • Gain critical real-time insights to run your business • Seamlessly integrate data streaming and batch data • High performance in throughput and low-latency at petabyte scale • Fully-managed cloud service • Tiered storage to optimize cloud performance & spend • Fully-secure & enterprise-ready -
2
SingleStore
SingleStore
SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.Starting Price: $0.69 per hour -
3
Apache Pinot
Apache Corporation
Pinot is designed to answer OLAP queries with low latency on immutable data. Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index. Joins are currently not supported, but this problem can be overcome by using Trino or PrestoDB for querying. SQL like language that supports selection, aggregation, filtering, group by, order by, distinct queries on data. Consist of of both offline and real-time table. Use real-time table only to cover segments for which offline data may not be available yet. Detect the right anomalies by customizing anomaly detect flow and notification flow.
- Previous
- You're on page 1
- Next