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DBMS > ActivePivot vs. EXASOL vs. SQream DB

System Properties Comparison ActivePivot vs. EXASOL vs. SQream DB

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Editorial information provided by DB-Engines
NameActivePivot  Xexclude from comparisonEXASOL  Xexclude from comparisonSQream DB  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.a GPU-based, columnar RDBMS for big data analytics workloads
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
Score0.69
Rank#204  Overall
#100  Relational DBMS
Websiteactiveviam.com/­en/­products/­activepivot-in-memory-analytical-databasewww.exasol.comsqream.com
Technical documentationwww.exasol.com/­en/­resourcesdocs.sqream.com
DeveloperActiveViamExasolSQream Technologies
Initial release20002014
Current release2020.2, July 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial
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 languageJavaC++, CUDA, Haskell
Server operating systemsLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Types
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.no
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
.Net
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPost-processors in Javauser defined functionsuser defined functions in Python
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone
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 integrityyesno
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
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 controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ActivePivotEXASOLSQream DB
Specific characteristicsDue to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesMuch faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ActivePivotEXASOLSQream DB
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