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DBMS > Apache Impala vs. Atos Standard Common Repository vs. BoltDB vs. SiteWhere

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. BoltDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonSiteWhere  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 networksAn embedded key-value store for Go.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltgithub.com/­sitewhere/­sitewhere
Technical documentationimpala.apache.org/­impala-docs.htmlsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsSiteWhere
Initial release2013201620132010
Current release4.1.0, June 20221703
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMIT LicenseOpen Source infoCommon Public Attribution License Version 1.0
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++JavaGoJava
Server operating systemsLinuxLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
LDAPHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsGo
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 divisionnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsyesno
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.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationnoUsers with fine-grained authorization concept

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More resources
Apache ImpalaAtos Standard Common RepositoryBoltDBSiteWhere
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