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DBMS > EventStoreDB vs. Ignite vs. Splice Machine

System Properties Comparison EventStoreDB vs. Ignite vs. Splice Machine

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonIgnite  Xexclude from comparisonSplice Machine  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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelEvent StoreKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#174  Overall
#1  Event Stores
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitewww.eventstore.comignite.apache.orgsplicemachine.com
Technical documentationdevelopers.eventstore.comapacheignite.readme.io/­docssplicemachine.com/­how-it-works
DeveloperEvent Store LimitedApache Software FoundationSplice Machine
Initial release201220152014
Current release21.2, February 2021Apache Ignite 2.63.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJava
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes
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
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoJava
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)Yes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
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 implementationsAccess rights for users, groups and roles according to SQL-standard

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More resources
EventStoreDBIgniteSplice Machine
Recent citations in the news

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26 August 2021, The Register

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