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DBMS > Atos Standard Common Repository vs. dBASE vs. EJDB vs. Google Cloud Bigtable vs. Hazelcast

System Properties Comparison Atos Standard Common Repository vs. dBASE vs. EJDB vs. Google Cloud Bigtable vs. Hazelcast

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisondBASE  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksdBase 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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data grid
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeKey-value store
Wide column store
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.dbase.comgithub.com/­Softmotions/­ejdbcloud.google.com/­bigtablehazelcast.com
Technical documentationwww.dbase.com/­support/­knowledgebasegithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docs
DeveloperAtos Convergence CreatorsAsthon TateSoftmotionsGoogleHazelcast
Initial release20161979201220152008
Current release1703dBASE 2019, 20195.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2commercialOpen Source infoApache Version 2; commercial licenses available
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 languageJavaCJava
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
server-lesshostedAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyes infostring, integer, double, bool, date, object_idnoyes
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.yesnoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnonononoSQL-like query language
APIs and other access methodsLDAPnone infoThe IDE can access other DBMS or ODBC-sources.in-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsdBase proprietary IDEActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.nonoyes infoEvent Listeners, Executor Services
Triggersyesnononoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesno infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoAtomic single-row operationsone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control

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More resources
Atos Standard Common RepositorydBASEEJDBGoogle Cloud BigtableHazelcast
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