Comparison of The Best Data Management Software for Efficient Data Processing and Analysis

Cloud-based data warehouse based on S3.

Simple Storage Service of the AWS Cloud

Iceberg is an optimized format for large analytical tables for big data. It enables engines such as Spark, Trino, Flink, Presto, Hive and Impala to work with the same tables simultaneously.

Distributed, multi-purpose NoSQL database; also available as a Couchbase Cloud Service.

Scalable database system with NoSQL architecture and distributed SQL engine with focus on large-scale scenarios with high write and read load, as well as real-time analytics; also available as a cloud service.

Commercial edition of Apache Cassandra, an open source wide-column NoSQL database. Also available as a DBaaS offering with Astra DB.

Knowledge Graph technology for the implementation of AI, data integration, governance, supply chain optimization use cases and knowledge management.

High-performance, massively parallel, column-oriented, in-memory database for data & analytics use cases that can be used on-premise, in the cloud or hybrid.

Fully managed, serverless data warehouse and analysis environment as a Platform-as-a-Service (PaaS). BigQuery is optimized for the analysis of data in the petabyte range with SQL-like syntax.

Storage service of the Google Cloud Platform; basic storage for e.g. the development of data lakes, IoT applications or BigQuery

Open-source massively parallel relational (Postgres) database for storing and processing polystructured data.

Cloud-native, relational database system for transactional and analytical use cases.

Data platform for analytical, transactional and AI applications.

Relational open source database with flexible storage engine concept for implementing transactional and analytical workloads.

MongoDB Atlas is a platform which consists of the document-based, distributed database for modern application development and data services.

Graph-based database with additional services for data processing and analysis. Also available as a cloud service with Neo4j AuraDB.

Database solution based on relational Oracle technology with machine learning functions to support "autonomous" administration for analytical and transactional use cases.

Relational database for OLTP/OLAP applications, extended by analytical storage engines and analytical functions to form a broad data management platform.

Open source, object-relational database management system for transactional and analytical workloads.

Presto, also known as PrestoDB, is an open source distributed SQL query engine.

Metadata and data platform for data integration, cataloging and storage of data for transactional, analytical and AI applications.

Data warehouse application based on SAP HANA.

Tool for accelerating SAP Analytics projects based on SAP HANA through specialized modules for extracting and processing data.

SQL-based MPP query engine based on open source technology Trino (formerly PrestoSQL) and Apache Iceberg for analytics on data lakes. Available on-premisies or in the Cloud.

Data platform with combinable, different engines to query data for analytical and transactional applications.

Graph database with functions for exploring relationships between data; also available as a cloud service with TigerGraph Cloud.