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DBMS > Axibase vs. Blazegraph vs. Google Cloud Datastore vs. Hypertable

System Properties Comparison Axibase vs. Blazegraph vs. Google Cloud Datastore vs. Hypertable

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHypertable  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.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 visualizationHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelTime Series DBMSGraph DBMS
RDF store
Document storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score4.47
Rank#76  Overall
#12  Document stores
Websiteaxibase.com/­docs/­atsd/­financeblazegraph.comcloud.google.com/­datastore
Technical documentationwiki.blazegraph.comcloud.google.com/­datastore/­docs
DeveloperAxibase CorporationBlazegraphGoogleHypertable Inc.
Initial release2013200620082009
Current release155852.1.5, March 20190.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoextended commercial license availablecommercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes infoRDF literal typesyes, details hereno
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.nono
Secondary indexesnoyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageSQL-like query language (GQL)no
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Thrift
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesusing Google App Engineno
TriggersyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication using Paxosselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
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.no
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
AxibaseBlazegraphGoogle Cloud DatastoreHypertable
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