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DBMS > Axibase vs. Google Cloud Datastore vs. HugeGraph vs. mSQL vs. Warp 10

System Properties Comparison Axibase vs. Google Cloud Datastore vs. HugeGraph vs. mSQL vs. Warp 10

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHugeGraph  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA fast-speed and highly-scalable Graph DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSDocument storeGraph DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­datastoregithub.com/­hugegraph
hugegraph.apache.org
hughestech.com.au/­products/­msqlwww.warp10.io
Technical documentationcloud.google.com/­datastore/­docshugegraph.apache.org/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAxibase CorporationGoogleBaiduHughes TechnologiesSenX
Initial release20132008201819942015
Current release155850.94.4, October 2021
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCJava
Server operating systemsLinuxhostedLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes, details hereyesyesyes
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.nonononono
Secondary indexesnoyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)noA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesusing Google App Engineasynchronous Gremlin script jobsnoyes infoWarpScript
TriggersyesCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosyes infodepending on used storage backend, e.g. Cassandra and HBasenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowvia hugegraph-sparknono
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.Eventual ConsistencynoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AxibaseGoogle Cloud DatastoreHugeGraphmSQL infoMini SQLWarp 10
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