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DBMS > Datastax Enterprise vs. Derby vs. MaxDB

System Properties Comparison Datastax Enterprise vs. Derby vs. MaxDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisedb.apache.org/­derbymaxdb.sap.com
Technical documentationdocs.datastax.comdb.apache.org/­derby/­manuals/­index.htmlmaxdb.sap.com/­documentation
DeveloperDataStaxApache Software FoundationSAP, acquired from Software AG (Adabas-D) in 1997
Initial release201119971984
Current release6.8, April 202010.17.1.0, November 20237.9.10.12, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBCADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBMaxDB infoformerly named Adabas-D
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBMaxDB infoformerly named Adabas-D
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