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DBMS > Google Cloud Firestore vs. Kinetica vs. OmniSci

System Properties Comparison Google Cloud Firestore vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.30
Rank#65  Overall
#11  Document stores
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.kinetica.comwww.omnisci.com
Technical documentationfirebase.google.com/­docs/­firestorewww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperGoogleKineticaMapD Technologies, Inc.
Initial release201720122016
Current release6.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++ and CUDA
Server operating systemshostedLinuxLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsno
Triggersyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
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.Access rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Google debuts new Cloud Storage archive class for long-term data retention
10 April 2019, VentureBeat

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

Google Launches Cloud Firestore, a Serverless NoSQL Database
31 January 2019, ADT Magazine

On the verge of Next '19, Google must double down on cloud applications
1 April 2019, SiliconANGLE News

Google Cloud Firestore, the serverless, NoSQL document database, is now generally available
1 February 2019, Packt Hub

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

New Data Science Platforms Highlight Nvidia's GPU Conference
25 March 2019, eWeek

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Graphics Processing Unit Database Market Growing Demand and Trends 2019 to 2028
11 April 2019, The Smart CMS

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

provided by Google News

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