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DBMS > Apache Pinot vs. EventStoreDB vs. Sadas Engine vs. SQream DB

System Properties Comparison Apache Pinot vs. EventStoreDB vs. Sadas Engine vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEventStoreDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIndustrial-strength, open-source database solution built from the ground up for event sourcing.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSEvent StoreRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitepinot.apache.orgwww.eventstore.comwww.sadasengine.comsqream.com
Technical documentationdocs.pinot.apache.orgdevelopers.eventstore.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.sqream.com
DeveloperApache Software Foundation and contributorsEvent Store LimitedSADAS s.r.l.SQream Technologies
Initial release2015201220062017
Current release1.0.0, September 202321.2, February 20218.02022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
AIX
Linux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, 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 indexesyesno
SQL infoSupport of SQLSQL-like query languageyesyes
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
.Net
JDBC
ODBC
Supported programming languagesGo
Java
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions in Python
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PinotEventStoreDBSadas EngineSQream DB
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