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DBMS > Atos Standard Common Repository vs. Rockset vs. Tarantool vs. Typesense

System Properties Comparison Atos Standard Common Repository vs. Rockset vs. Tarantool vs. Typesense

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonRockset  Xexclude from comparisonTarantool  Xexclude from comparisonTypesense  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 networksA scalable, reliable search and analytics service in the cloud, built on RocksDBIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Key-value store
Document storeDocument store
Key-value store
Relational DBMS
Search engine
Secondary database modelsRelational DBMS
Search engine
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryrockset.comwww.tarantool.iotypesense.org
Technical documentationdocs.rockset.comwww.tarantool.io/­en/­doctypesense.org/­docs
DeveloperAtos Convergence CreatorsRocksetVK
Initial release2016201920082015
Current release17032.10.0, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++
Server operating systemsLinuxhostedBSD
Linux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateoptionaldynamic typingstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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.yesno infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsFull-featured ANSI SQL supportno
APIs and other access methodsLDAPHTTP RESTOpen binary protocolRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnonoLua, C and SQL stored proceduresno
Triggersyesnoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and organizations can be defined via Rockset consoleAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
Atos Standard Common RepositoryRocksetTarantoolTypesense
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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