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DBMS > Apache Pinot vs. Brytlyt vs. GeoSpock vs. Google Cloud Firestore vs. TerarkDB

System Properties Comparison Apache Pinot vs. Brytlyt vs. GeoSpock vs. Google Cloud Firestore vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBrytlyt  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLSpatial and temporal data processing engine for extreme data scaleCloud 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 key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitepinot.apache.orgbrytlyt.iogeospock.comfirebase.google.com/­products/­firestoregithub.com/­bytedance/­terarkdb
Technical documentationdocs.pinot.apache.orgdocs.brytlyt.iofirebase.google.com/­docs/­firestorebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation and contributorsBrytlytGeoSpockGoogleByteDance, originally Terark
Initial release2015201620172016
Current release1.0.0, September 20235.0, August 20232.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAJava, JavascriptC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
hostedhosted
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyestemporal, categoricalyesno
SQL infoSupport of SQLSQL-like query languageyesANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
C++ API
Java API
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes, Firebase Rules & Cloud Functionsno
Triggersyesnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Apache PinotBrytlytGeoSpockGoogle Cloud FirestoreTerarkDB
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