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DBMS > Alibaba Cloud Table Store vs. Apache Impala vs. Google Cloud Firestore vs. Kinetica vs. Vitess

System Properties Comparison Alibaba Cloud Table Store vs. Apache Impala vs. Google Cloud Firestore vs. Kinetica vs. Vitess

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Impala  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAnalytic DBMS for HadoopCloud 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.Fully vectorized database across both GPUs and CPUsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeimpala.apache.orgfirebase.google.com/­products/­firestorewww.kinetica.comvitess.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­firestoredocs.kinetica.comvitess.io/­docs
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleKineticaThe Linux Foundation, PlanetScale
Initial release20162013201720122013
Current release4.1.0, June 20227.1, August 202115.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++Go
Server operating systemshostedLinuxhostedLinuxDocker
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsHTTP APIJDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
Python
All languages supporting JDBC/ODBCGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, Firebase Rules & Cloud Functionsuser defined functionsyes infoproprietary syntax
Triggersnonoyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factorMulti-source replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoyesnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess 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 and roles on table levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Alibaba Cloud Table StoreApache ImpalaGoogle Cloud FirestoreKineticaVitess
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