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DBMS > Google Cloud Firestore vs. Kyligence Enterprise vs. Riak TS vs. SingleStore

System Properties Comparison Google Cloud Firestore vs. Kyligence Enterprise vs. Riak TS vs. SingleStore

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonRiak TS  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.A distributed analytics engine for big data, built on top of Apache KylinRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitefirebase.google.com/­products/­firestorekyligence.io/­kyligence-enterprisewww.singlestore.com
Technical documentationfirebase.google.com/­docs/­firestorewww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.singlestore.com
DeveloperGoogleKyligence, Inc.Open Source, formerly Basho TechnologiesSingleStore Inc.
Initial release2017201620152013
Current release3.0.0, September 20228.5, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++, Go
Server operating systemshostedLinuxLinux
OS X
Linux info64 bit version required
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)yes, limitedyes infobut no triggers and foreign keys
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsErlangyes
Triggersyes, with Cloud Functionsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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.noFine grained access control via users, groups and roles

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More resources
Google Cloud FirestoreKyligence EnterpriseRiak TSSingleStore infoformer name was MemSQL
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