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DBMS > Ehcache vs. GeoSpock vs. IBM Db2 warehouse vs. InfluxDB vs. Spark SQL

System Properties Comparison Ehcache vs. GeoSpock vs. IBM Db2 warehouse vs. InfluxDB vs. Spark SQL

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsSpatial and temporal data processing engine for extreme data scaleCloud-based data warehousing serviceDBMS for storing time series, events and metricsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.ehcache.orggeospock.comwww.ibm.com/­products/­db2/­warehousewww.influxdata.com/­products/­influxdb-overviewspark.apache.org/­sql
Technical documentationwww.ehcache.org/­documentationdocs.influxdata.com/­influxdbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperTerracotta Inc, owned by Software AGGeoSpockIBMApache Software Foundation
Initial release2009201420132014
Current release3.10.0, March 20222.0, September 20192.7.6, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptGoScala
Server operating systemsAll OS with a Java VMhostedhostedLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Stringsyes
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 infoImport/export of XML data possiblenono
Secondary indexesnotemporal, categoricalyesnono
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJCacheJDBC.NET Client API
JDBC
ODBC
OLE DB
HTTP API
JSON over UDP
JDBC
ODBC
Supported programming languagesJavaJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLnono
Triggersyes infoCache Event Listenersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerAutomatic shardingShardingSharding infoin enterprise version onlyyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryesselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoDepending on used storage engineno
User concepts infoAccess controlnoAccess rights for users can be defined per tablefine grained access rights according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
EhcacheGeoSpockIBM Db2 warehouse infoformerly named IBM dashDBInfluxDBSpark SQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
EhcacheGeoSpockIBM Db2 warehouse infoformerly named IBM dashDBInfluxDBSpark SQL
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