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DBMS > Google Cloud Firestore vs. KeyDB vs. LevelDB vs. SAP SQL Anywhere vs. Splice Machine

System Properties Comparison Google Cloud Firestore vs. KeyDB vs. LevelDB vs. SAP SQL Anywhere vs. Splice Machine

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKeyDB  Xexclude from comparisonLevelDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCloud 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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeKey-value storeKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­google/­leveldbwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsplicemachine.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.keydb.devgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdhelp.sap.com/­docs/­SAP_SQL_Anywheresplicemachine.com/­how-it-works
DeveloperGoogleEQ Alpha Technology Ltd.GoogleSAP infoformerly SybaseSplice Machine
Initial release20172019201119922014
Current release1.23, February 202117, July 20153.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoBSDcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemshostedLinuxIllumos
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoyesyes
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.nononoyes
Secondary indexesyesyes infoby using the Redis Search modulenoyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsLuanoyes, in C/C++, Java, .Net or Perlyes infoJava
Triggersyes, with Cloud Functionsnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
noneSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud DataflownononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesOptimistic locking, atomic execution of commands blocks and scriptsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.simple password-based access control and ACLnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Google Cloud FirestoreKeyDBLevelDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplice Machine
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