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DBMS > Axibase vs. Derby vs. Google Cloud Datastore vs. Stardog

System Properties Comparison Axibase vs. Derby vs. Google Cloud Datastore vs. Stardog

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSRelational DBMSDocument storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaxibase.com/­docs/­atsd/­financedb.apache.org/­derbycloud.google.com/­datastorewww.stardog.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlcloud.google.com/­datastore/­docsdocs.stardog.com
DeveloperAxibase CorporationApache Software FoundationGoogleStardog-Union
Initial release2013199720082010
Current release1558510.17.1.0, November 20237.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache version 2commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageJavaJavaJava
Server operating systemsLinuxAll OS with a Java VMhostedLinux
macOS
Windows
Data schemeyesyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes, details hereyes
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.noyesnono infoImport/export of XML data possible
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language (GQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Java.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesJava Stored Proceduresusing Google App Engineuser defined functions and aggregates, HTTP Server extensions in Java
TriggersyesyesCallbacks using the Google Apps Engineyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication using PaxosMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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More resources
AxibaseDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGoogle Cloud DatastoreStardog
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