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DBMS > Datomic vs. dBASE vs. GridGain vs. Microsoft Azure Table Storage vs. Oracle Rdb

System Properties Comparison Datomic vs. dBASE vs. GridGain vs. Microsoft Azure Table Storage vs. Oracle Rdb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisondBASE  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.GridGain is an in-memory computing platform, built on Apache IgniteA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.datomic.comwww.dbase.comwww.gridgain.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.datomic.comwww.dbase.com/­support/­knowledgebasewww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperCognitectAsthon TateGridGain Systems, Inc.MicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20121979200720121984
Current release1.0.6735, June 2023dBASE 2019, 2019GridGain 8.5.17.4.1.1, 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, C++, .Net
Server operating systemsAll OS with a Java VMDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Solaris
Windows
hostedHP Open VMS
Data schemeyesyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsRESTful HTTP APInone infoThe IDE can access other DBMS or ODBC-sources.HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesClojure
Java
dBase proprietary IDEC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsno infoThe IDE can access stored procedures in other database systems.yes (compute grid and cache interceptors can be used instead)no
TriggersBy using transaction functionsnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDoptimistic lockingyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlnoAccess rights for users and rolesSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signatures

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DatomicdBASEGridGainMicrosoft Azure Table StorageOracle Rdb
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