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DBMS > Atos Standard Common Repository vs. InfinityDB vs. Netezza vs. Splunk vs. Sqrrl

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. Netezza vs. Splunk vs. Sqrrl

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInfinityDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSplunk  Xexclude from comparisonSqrrl  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA Java embedded Key-Value Store which extends the Java Map interfaceData warehouse and analytics appliance part of IBM PureSystemsAnalytics Platform for Big DataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryboilerbay.comwww.ibm.com/­products/­netezzawww.splunk.comsqrrl.com
Technical documentationboilerbay.com/­infinitydb/­manualdocs.splunk.com/­Documentation/­Splunk
DeveloperAtos Convergence CreatorsBoiler Bay Inc.IBMSplunk Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20162002200020032012
Current release17034.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoLimited free edition and free developer edition availablecommercial
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 languageJavaJavaJava
Server operating systemsLinuxAll OS with a Java VMLinux infoincluded in applianceLinux
OS X
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes
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
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyesyes
SQL infoSupport of SQLnonoyesno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsLDAPAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
OLE DB
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindingsJavaC
C++
Fortran
Java
Lua
Perl
Python
R
C#
Java
JavaScript
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyesyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlLDAP bind authenticationnoUsers with fine-grained authorization conceptAccess rights for users and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Atos Standard Common RepositoryInfinityDBNetezza infoAlso called PureData System for Analytics by IBMSplunkSqrrl
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