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DBMS > Atos Standard Common Repository vs. Databricks vs. Manticore Search vs. OpenTSDB vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Manticore Search vs. OpenTSDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonManticore Search  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Multi-storage database for search, including full-text search.Scalable Time Series DBMS based on HBasePlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Search engineTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.commanticoresearch.comopentsdb.net
Technical documentationdocs.databricks.commanual.manticoresearch.comopentsdb.net/­docs/­build/­html/­index.html
DeveloperAtos Convergence CreatorsDatabricksManticore Softwarecurrently maintained by Yahoo and other contributorsTeradata
Initial release20162013201720112005
Current release17036.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinuxhostedFreeBSD
Linux
macOS
Windows
Linux
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)Fixed schemaschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateoptionalInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannumeric data for metrics, strings for tagsyes
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.yesyesCan index from XMLnoyes infoin Aster File Store
Secondary indexesyesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnowith Databricks SQLSQL-like query languagenoyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functionsnoR packages
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication based on Galera libraryselectable replication factor infobased on HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlLDAP bind authenticationnonofine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksManticore SearchOpenTSDBTeradata Aster
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryDatabricksManticore SearchOpenTSDBTeradata Aster
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