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DBMS > Apache Pinot vs. Fujitsu Enterprise Postgres vs. JaguarDB vs. Sqrrl

System Properties Comparison Apache Pinot vs. Fujitsu Enterprise Postgres vs. JaguarDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonJaguarDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Performant, highly scalable DBMS for AI and IoT applicationsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSKey-value store
Vector DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Websitepinot.apache.orgwww.postgresql.fastware.comwww.jaguardb.comsqrrl.com
Technical documentationdocs.pinot.apache.orgwww.postgresql.fastware.com/­product-manualswww.jaguardb.com/­support.html
DeveloperApache Software Foundation and contributorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyDataJaguar, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release201520152012
Current release1.0.0, September 2023Fujitsu Enterprise Postgres 14, January 20223.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++ infothe server part. Clients available in other languagesJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
LinuxLinux
Data schemeyesyesyesschema-free
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningpartitioning by range, list and by hashShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Apache PinotFujitsu Enterprise PostgresJaguarDBSqrrl
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