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DBMS > EventStoreDB vs. GBase vs. LMDB vs. Splice Machine

System Properties Comparison EventStoreDB vs. GBase vs. LMDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGBase  Xexclude from comparisonLMDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performant, light-weight, embedded key-value database libraryOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelEvent StoreRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.eventstore.comwww.gbase.cnwww.symas.com/­symas-embedded-database-lmdbsplicemachine.com
Technical documentationdevelopers.eventstore.comwww.lmdb.tech/­docsplicemachine.com/­how-it-works
DeveloperEvent Store LimitedGeneral Data Technology Co., Ltd.SymasSplice Machine
Initial release2012200420112014
Current release21.2, February 2021GBase 8a, GBase 8s, GBase 8c0.9.32, January 20243.1, March 2021
License infoCommercial or Open SourceOpen SourcecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonCJava
Server operating systemsLinux
Windows
LinuxLinux
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLStandard with numerous extensionsnoyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
EventStoreDBGBaseLMDBSplice Machine
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