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DBMS > CockroachDB vs. EJDB vs. Google Cloud Firestore vs. Splice Machine vs. TempoIQ

System Properties Comparison CockroachDB vs. EJDB vs. Google Cloud Firestore vs. Splice Machine vs. TempoIQ

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSplice Machine  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.cockroachlabs.comgithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­firestoresplicemachine.comtempoiq.com (offline)
Technical documentationwww.cockroachlabs.com/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­firestoresplicemachine.com/­how-it-works
DeveloperCockroach LabsSoftmotionsGoogleSplice MachineTempoIQ
Initial release20152012201720142012
Current release24.1.0, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoGPLv2commercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCJava
Server operating systemsLinux
macOS
Windows
server-lesshostedLinux
OS X
Solaris
Windows
Data schemedynamic schemaschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnonoyesno
APIs and other access methodsJDBCin-process shared libraryAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsyes infoJavano
Triggersnonoyes, with Cloud Functionsyesyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud DataflowYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)yes
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.noyesno
User concepts infoAccess controlRole-based access controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and roles according to SQL-standardsimple authentication-based access control

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More resources
CockroachDBEJDBGoogle Cloud FirestoreSplice MachineTempoIQ infoformerly TempoDB
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