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DBMS > Axibase vs. Brytlyt vs. Citus vs. Google Cloud Datastore

System Properties Comparison Axibase vs. Brytlyt vs. Citus vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBrytlyt  Xexclude from comparisonCitus  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Websiteaxibase.com/­docs/­atsd/­financebrytlyt.iowww.citusdata.comcloud.google.com/­datastore
Technical documentationdocs.brytlyt.iodocs.citusdata.comcloud.google.com/­datastore/­docs
DeveloperAxibase CorporationBrytlytGoogle
Initial release2013201620102008
Current release155855.0, August 20238.1, December 2018
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC
Server operating systemsLinuxLinux
OS X
Windows
Linuxhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes, details here
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.noyes infospecific XML-type available, but no XML query functionality.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infostandard, with numerous extensionsSQL-like query language (GQL)
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.using Google App Engine
TriggersyesyesyesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyesyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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AxibaseBrytlytCitusGoogle Cloud Datastore
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