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DBMS > Apache Impala vs. Atos Standard Common Repository vs. GeoMesa vs. Transwarp ArgoDB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. GeoMesa vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSDocument store
Key-value store
Spatial DBMSRelational DBMS
Secondary database modelsDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orgwww.transwarp.cn/­en/­product/­argodb
Technical documentationimpala.apache.org/­impala-docs.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsCCRi and othersTranswarp
Initial release201320162014
Current release4.1.0, June 202217034.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScala
Server operating systemsLinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
LDAP
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisiondepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layer
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesdepending on storage layer
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationyes infodepending on the DBMS used for storage

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More resources
Apache ImpalaAtos Standard Common RepositoryGeoMesaTranswarp ArgoDB
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