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DBMS > EventStoreDB vs. Ignite vs. RisingWave

System Properties Comparison EventStoreDB vs. Ignite vs. RisingWave

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonIgnite  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelEvent StoreKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.eventstore.comignite.apache.orgwww.risingwave.com/­database
Technical documentationdevelopers.eventstore.comapacheignite.readme.io/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperEvent Store LimitedApache Software FoundationRisingWave Labs
Initial release201220152022
Current release21.2, February 2021Apache Ignite 2.61.2, September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetRust
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesStandard SQL-types and JSON
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)UDFs in Python or Java
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers and Roles

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More resources
EventStoreDBIgniteRisingWave
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