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DBMS > Atos Standard Common Repository vs. Databend vs. Pinecone vs. Riak TS vs. Rockset

System Properties Comparison Atos Standard Common Repository vs. Databend vs. Pinecone vs. Riak TS vs. Rockset

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonPinecone  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  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 open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA managed, cloud-native vector databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Key-value store
Relational DBMSVector DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
www.pinecone.iorockset.com
Technical documentationdocs.databend.comdocs.pinecone.io/­docs/­overviewwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.com
DeveloperAtos Convergence CreatorsDatabend LabsPinecone Systems, IncOpen Source, formerly Basho TechnologiesRockset
Initial release20162021201920152019
Current release17031.0.59, April 20233.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustErlangC++
Server operating systemsLinuxhosted
Linux
macOS
hostedLinux
OS X
hosted
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesString, Number, Booleannodynamic typing
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.yesnononono infoingestion from XML files supported
Secondary indexesyesnorestrictedall fields are automatically indexed
SQL infoSupport of SQLnoyesnoyes, limitedRead-only SQL queries, including JOINs
APIs and other access methodsLDAPCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
PythonC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoErlangno
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept, user rolesnoAccess rights for users and organizations can be defined via Rockset console

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More resources
Atos Standard Common RepositoryDatabendPineconeRiak TSRockset
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