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DBMS > H2 vs. HarperDB vs. Splice Machine

System Properties Comparison H2 vs. HarperDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHarperDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.46
Rank#53  Overall
#32  Relational DBMS
Score0.56
Rank#267  Overall
#39  Document stores
Score1.03
Rank#212  Overall
#99  Relational DBMS
Websitewww.h2database.comharperdb.iosplicemachine.com
Technical documentationwww.h2database.com/­html/­main.htmlharperdb.io/­developers/­documentation/­overviewdoc.splicemachine.com
DeveloperThomas MuellerHarperDBSplice Machine
Initial release200520172014
Current release2.1.210, January 20223.1, August 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsJava
Server operating systemsAll OS with a Java VMLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1yes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, 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 dataACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
H2HarperDBSplice Machine
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
» more
Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
Market metricsOver 94K total HarperDB users : 16,500+ npm downloads 73,600+ on Docker Hub 4,200+...
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A data base is only as powerful as it...
» more
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More resources
H2HarperDBSplice Machine
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