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DBMS > BigObject vs. Fujitsu Enterprise Postgres vs. InfinityDB vs. Kinetica

System Properties Comparison BigObject vs. Fujitsu Enterprise Postgres vs. InfinityDB vs. Kinetica

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonInfinityDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A Java embedded Key-Value Store which extends the Java Map interfaceFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitebigobject.iowww.postgresql.fastware.comboilerbay.comwww.kinetica.com
Technical documentationdocs.bigobject.iowww.postgresql.fastware.com/­product-manualsboilerbay.com/­infinitydb/­manualdocs.kinetica.com
DeveloperBigObject, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyBoiler Bay Inc.Kinetica
Initial release201520022012
Current releaseFujitsu Enterprise Postgres 14, January 20224.07.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC, C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
All OS with a Java VMLinux
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like DML and DDL statements
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functionsnouser defined functions
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights for users and roles on table level

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More resources
BigObjectFujitsu Enterprise PostgresInfinityDBKinetica
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