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DBMS > Apache Pinot vs. Ehcache vs. NSDb vs. Spark SQL

System Properties Comparison Apache Pinot vs. Ehcache vs. NSDb vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEhcache  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA widely adopted Java cache with tiered storage optionsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitepinot.apache.orgwww.ehcache.orgnsdb.iospark.apache.org/­sql
Technical documentationdocs.pinot.apache.orgwww.ehcache.org/­documentationnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation and contributorsTerracotta Inc, owned by Software AGApache Software Foundation
Initial release2015200920172014
Current release1.0.0, September 20233.10.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, ScalaScala
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMLinux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 indexesnoall fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBCJCachegRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesGo
Java
Python
JavaJava
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using Terracotta ServerShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnono

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More resources
Apache PinotEhcacheNSDbSpark SQL
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