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DBMS > Atos Standard Common Repository vs. HarperDB vs. Interbase vs. Splice Machine vs. Splunk

System Properties Comparison Atos Standard Common Repository vs. HarperDB vs. Interbase vs. Splice Machine vs. Splunk

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonInterbase  Xexclude from comparisonSplice Machine  Xexclude from comparisonSplunk  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 networksUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Light-weight proven RDBMS infooriginally from BorlandOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big Data
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.iowww.embarcadero.com/­products/­interbasesplicemachine.comwww.splunk.com
Technical documentationdocs.harperdb.io/­docsdocs.embarcadero.com/­products/­interbasesplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunk
DeveloperAtos Convergence CreatorsHarperDBEmbarcaderoSplice MachineSplunk Inc.
Initial release20162017198420142003
Current release17033.1, August 2021InterBase 2020, December 20193.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsCJava
Server operating systemsLinuxLinux
OS X
Android
iOS
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsdynamic schemayesyesyes
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesyesyesyes
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.yesnono infoexport as XML data possibleyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsLDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
HTTP REST
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yes infoInterbase procedure and trigger languageyes infoJavayes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusternoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedInterbase Change ViewsMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of specific operationsACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
Atos Standard Common RepositoryHarperDBInterbaseSplice MachineSplunk
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