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DBMS > Atos Standard Common Repository vs. DuckDB vs. GeoMesa vs. Ignite vs. Immudb

System Properties Comparison Atos Standard Common Repository vs. DuckDB vs. GeoMesa vs. Ignite vs. Immudb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDuckDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonIgnite  Xexclude from comparisonImmudb  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 networksAn embeddable, in-process, column-oriented SQL OLAP RDBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.
Primary database modelDocument store
Key-value store
Relational DBMSSpatial DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryduckdb.orgwww.geomesa.orgignite.apache.orggithub.com/­codenotary/­immudb
immudb.io
Technical documentationduckdb.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlapacheignite.readme.io/­docsdocs.immudb.io
DeveloperAtos Convergence CreatorsCCRi and othersApache Software FoundationCodenotary
Initial release20162018201420152020
Current release17030.10, February 20245.0.0, May 2024Apache Ignite 2.61.2.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
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 languageJavaC++ScalaC++, Java, .NetGo
Server operating systemsLinuxserver-lessLinux
OS X
Solaris
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Data schemeSchema and schema-less with LDAP viewsyesyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesnoANSI-99 for query and DML statements, subset of DDLSQL-like syntax
APIs and other access methodsLDAPArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC protocol
PostgreSQL wire protocol
Supported programming languagesAll languages with LDAP bindingsC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononoyes (compute grid and cache interceptors can be used instead)no
Triggersyesnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonedepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonedepending on storage layeryes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesdepending on storage layeryesno
User concepts infoAccess controlLDAP bind authenticationnoyes infodepending on the DBMS used for storageSecurity Hooks for custom implementations

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More resources
Atos Standard Common RepositoryDuckDBGeoMesaIgniteImmudb
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