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DBMS > Ehcache vs. Postgres-XL vs. QuestDB vs. Riak KV

System Properties Comparison Ehcache vs. Postgres-XL vs. QuestDB vs. Riak KV

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuestDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high performance open source SQL database for time series dataDistributed, fault tolerant key-value store
Primary database modelKey-value storeRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.ehcache.orgwww.postgres-xl.orgquestdb.io
Technical documentationwww.ehcache.org/­documentationwww.postgres-xl.org/­documentationquestdb.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperTerracotta Inc, owned by Software AGQuestDB Technology IncOpenSource, formerly Basho Technologies
Initial release20092014 infosince 2012, originally named StormDB20142009
Current release3.10.0, March 202210 R1, October 20183.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava (Zero-GC), C++, RustErlang
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
macOS
Windows
Linux
OS X
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infoXML type, but no XML query functionalitynono
Secondary indexesnoyesnorestricted
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSQL with time-series extensionsno
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Native Erlang Interface
Supported programming languagesJava.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsnoErlang
Triggersyes infoCache Event Listenersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioninghorizontal partitioning (by timestamps)Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication with eventual consistencyselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infoMVCCACID for single-table writesno
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 infothrough memory mapped files
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, using Riak Security
More information provided by the system vendor
EhcachePostgres-XLQuestDBRiak KV
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
EhcachePostgres-XLQuestDBRiak KV
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