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DBMS > ActivePivot vs. EXASOL vs. H2

System Properties Comparison ActivePivot vs. EXASOL vs. H2

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Editorial information provided by DB-Engines
NameActivePivot  Xexclude from comparisonEXASOL  Xexclude from comparisonH2  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#215  Overall
#12  Object oriented DBMS
Score3.53
Rank#93  Overall
#47  Relational DBMS
Score8.35
Rank#50  Overall
#29  Relational DBMS
Websiteactiveviam.com/­en/­products/­activepivot-in-memory-analytical-databasewww.exasol.comwww.h2database.com
Technical documentationwww.exasol.com/­en/­resourceswww.h2database.com/­html/­main.html
DeveloperActiveViamExasolThomas Mueller
Initial release20002005
Current release1.4.200, October 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
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 languageJavaJava
Server operating systemsAll OS with a Java VM
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
Java
Server-side scripts infoStored proceduresPost-processors in Javauser defined functionsJava Stored Procedures and User-Defined Functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, 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.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
ActivePivotEXASOLH2
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