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DBMS > Apache Pinot vs. EJDB vs. Oracle NoSQL vs. Splice Machine vs. TimescaleDB

System Properties Comparison Apache Pinot vs. EJDB vs. Oracle NoSQL vs. Splice Machine vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEJDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument storeDocument store
Key-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitepinot.apache.orggithub.com/­Softmotions/­ejdbwww.oracle.com/­database/­nosql/­technologies/­nosqlsplicemachine.comwww.timescale.com
Technical documentationdocs.pinot.apache.orggithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsplicemachine.com/­how-it-worksdocs.timescale.com
DeveloperApache Software Foundation and contributorsSoftmotionsOracleSplice MachineTimescale
Initial release20152012201120142017
Current release1.0.0, September 202323.3, December 20233.1, March 20212.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaJavaC
Server operating systemsAll OS with a Java JDK11 or higherserver-lessLinux
Solaris SPARC/x86
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idoptionalyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBCin-process shared libraryRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoJavauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurable infoACID within a storage node (=shard)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)yes
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.yes infooff heap cacheyesno
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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Apache PinotEJDBOracle NoSQLSplice MachineTimescaleDB
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