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DBMS > Graph Engine vs. H2 vs. HyperSQL vs. IBM Db2 warehouse vs. LeanXcale

System Properties Comparison Graph Engine vs. H2 vs. HyperSQL vs. IBM Db2 warehouse vs. LeanXcale

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBCloud-based data warehousing serviceA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitewww.graphengine.iowww.h2database.comhsqldb.orgwww.ibm.com/­products/­db2/­warehousewww.leanxcale.com
Technical documentationwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperMicrosoftThomas MuellerIBMLeanXcale
Initial release20102005200120142015
Current release2.2.220, July 20232.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaJava
Server operating systems.NETAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes infothrough Apache Derby
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#
C++
F#
Visual Basic
JavaAll languages supporting JDBC/ODBC
Java
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined FunctionsJava, SQLPL/SQL, SQL PL
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityH2HyperSQL infoalso known as HSQLDBIBM Db2 warehouse infoformerly named IBM dashDBLeanXcale
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