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DBMS > Altibase vs. Apache Kylin vs. Atos Standard Common Repository vs. Faircom DB vs. GeoSpock

System Properties Comparison Altibase vs. Apache Kylin vs. Atos Standard Common Repository vs. Faircom DB vs. GeoSpock

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGeoSpock  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Websitealtibase.comkylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-dbgeospock.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualskylin.apache.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperAltibaseApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsFairCom CorporationGeoSpock
Initial release1999201520161979
Current releasev7.3, 2023, August 20233.1.0, July 20201703V12, November 20202.0, September 2019
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0commercialcommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaANSI C, C++Java, Javascript
Server operating systemsAIX
HP-UX
Linux
LinuxLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hosted
Data schemeyesyesSchema and schema-less with LDAP viewsschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesoptionalyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nonoyesnono
Secondary indexesyesyesyesyestemporal, categorical
SQL infoSupport of SQLANSI SQL-92ANSI SQL for queries (using Apache Calcite)noyes, ANSI SQL with proprietary extensionsANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
LDAPADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
Supported programming languagesC
C++
Java
All languages with LDAP bindings.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes info.Net, JavaScript, C/C++no
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationstunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users can be defined per table

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More resources
AltibaseApache KylinAtos Standard Common RepositoryFaircom DB infoformerly c-treeACEGeoSpock
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