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DBMS > EJDB vs. Heroic vs. Hypertable vs. QuestDB vs. Sequoiadb

System Properties Comparison EJDB vs. Heroic vs. Hypertable vs. QuestDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonQuestDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopA high performance open source SQL database for time series dataNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeTime Series DBMSWide column storeTime Series DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbgithub.com/­spotify/­heroicquestdb.iowww.sequoiadb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdspotify.github.io/­heroicquestdb.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperSoftmotionsSpotifyHypertable Inc.QuestDB Technology IncSequoiadb Ltd.
Initial release20122014200920142013
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++Java (Zero-GC), C++, RustC++
Server operating systemsserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesnoyesyes infooid, date, timestamp, binary, regex
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 indexesnoyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnononoSQL with time-series extensionsSQL-like query language
APIs and other access methodsin-process shared libraryHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
proprietary protocol using JSON
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonononoJavaScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor on file system levelSource-replica replication with eventual consistencySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID for single-table writesDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesno
User concepts infoAccess controlnonosimple password-based access control
More information provided by the system vendor
EJDBHeroicHypertableQuestDBSequoiadb
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EJDBHeroicHypertableQuestDBSequoiadb
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