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DBMS > etcd vs. Firebird vs. Heroic vs. IBM Cloudant vs. Splice Machine

System Properties Comparison etcd vs. Firebird vs. Heroic vs. IBM Cloudant vs. Splice Machine

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFirebird  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA distributed reliable key-value storeFirebird is an open source RDBMS forked from Borland's InterBaseTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering based on Apache CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.firebirdsql.orggithub.com/­spotify/­heroicwww.ibm.com/­products/­cloudantsplicemachine.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.firebirdsql.org/­en/­reference-manualsspotify.github.io/­heroiccloud.ibm.com/­docs/­Cloudantsplicemachine.com/­how-it-works
DeveloperFirebird FoundationSpotifyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Splice Machine
Initial release2000 infoAs fork of Borland's InterBase201420102014
Current release3.4, August 20195.0.0, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++JavaErlangJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesnoyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoPSQLnoView functions (Map-Reduce) in JavaScriptyes infoJava
Triggersyes, watching key changesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes infoOptimistic lockingyes, multi-version concurrency control (MVCC)
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.nononoyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standard

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More resources
etcdFirebirdHeroicIBM CloudantSplice Machine
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