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DBMS > Ehcache vs. GeoMesa vs. Heroic vs. OrigoDB vs. QuestDB

System Properties Comparison Ehcache vs. GeoMesa vs. Heroic vs. OrigoDB vs. QuestDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fully ACID in-memory object graph databaseA high performance open source SQL database for time series data
Primary database modelKey-value storeSpatial DBMSTime Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.ehcache.orgwww.geomesa.orggithub.com/­spotify/­heroicorigodb.comquestdb.io
Technical documentationwww.ehcache.org/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroicorigodb.com/­docsquestdb.io/­docs
DeveloperTerracotta Inc, owned by Software AGCCRi and othersSpotifyRobert Friberg et alQuestDB Technology Inc
Initial release2009201420142009 infounder the name LiveDB2014
Current release3.10.0, March 20224.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0Open Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJavaC#Java (Zero-GC), C++, Rust
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NETno
Secondary indexesnoyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnonononoSQL with time-series extensions
APIs and other access methodsJCacheHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJava.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnononoyesno
Triggersyes infoCache Event Listenersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverdepending on storage layerShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverdepending on storage layeryesSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)depending on storage layerEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenonoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layernoyesyes infothrough memory mapped files
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageRole based authorization
More information provided by the system vendor
EhcacheGeoMesaHeroicOrigoDBQuestDB
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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