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DBMS > Axibase vs. Drizzle vs. Google Cloud Datastore vs. Hypertable vs. openGauss

System Properties Comparison Axibase vs. Drizzle vs. Google Cloud Datastore vs. Hypertable vs. openGauss

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHypertable  Xexclude from comparisonopenGauss  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source BigTable implementation based on distributed file systems such as HadoopAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelTime Series DBMSRelational DBMSDocument storeWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­datastoregitee.com/­opengauss
opengauss.org
Technical documentationcloud.google.com/­datastore/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAxibase CorporationDrizzle project, originally started by Brian AkerGoogleHypertable Inc.Huawei and openGauss community
Initial release20132008200820092019
Current release155857.2.4, September 20120.9.8.11, March 20163.0, March 2022
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoGNU GPLcommercialOpen Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C, C++, Java
Server operating systemsLinuxFreeBSD
Linux
OS X
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes, details herenoyes
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 indexesnoyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsSQL-like query language (GQL)noANSI SQL 2011
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Thrift
JDBC
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C
C++
Java
Server-side scripts infoStored proceduresyesnousing Google App Enginenoyes
Triggersyesno infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication using Paxosselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standard

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More resources
AxibaseDrizzleGoogle Cloud DatastoreHypertableopenGauss
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