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DBMS > Ehcache vs. Greenplum vs. InfluxDB vs. Teradata

System Properties Comparison Ehcache vs. Greenplum vs. InfluxDB vs. Teradata

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGreenplum  Xexclude from comparisonInfluxDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.DBMS for storing time series, events and metricsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith GEO packageDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitewww.ehcache.orggreenplum.orgwww.influxdata.com/­products/­influxdb-overviewwww.teradata.com
Technical documentationwww.ehcache.org/­documentationdocs.greenplum.orgdocs.influxdata.com/­influxdbdocs.teradata.com
DeveloperTerracotta Inc, owned by Software AGPivotal Software Inc.Teradata
Initial release2009200520131984
Current release3.10.0, March 20227.0.0, September 20232.7.6, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsAll OS with a Java VMLinuxLinux
OS X infothrough Homebrew
hosted
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric 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.noyes infosince Version 4.2noyes
Secondary indexesnoyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsJCacheJDBC
ODBC
HTTP API
JSON over UDP
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJavaC
Java
Perl
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infoin enterprise version onlySharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoDepending on used storage engineyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
EhcacheGreenplumInfluxDBTeradata
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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