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DBMS > Atos Standard Common Repository vs. HugeGraph vs. Hypertable vs. Tarantool

System Properties Comparison Atos Standard Common Repository vs. HugeGraph vs. Hypertable vs. Tarantool

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparisonTarantool  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA fast-speed and highly-scalable Graph DBMSAn open source BigTable implementation based on distributed file systems such as HadoopIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument store
Key-value store
Graph DBMSWide column storeDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­hugegraph
hugegraph.apache.org
www.tarantool.io
Technical documentationhugegraph.apache.org/­docswww.tarantool.io/­en/­doc
DeveloperAtos Convergence CreatorsBaiduHypertable Inc.VK
Initial release2016201820092008
Current release17030.90.9.8.11, March 20162.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C and C++
Server operating systemsLinuxLinux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateoptionalyesnostring, double, decimal, uuid, integer, blob, boolean, datetime
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.yesnono
Secondary indexesyesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnononoFull-featured ANSI SQL support
APIs and other access methodsLDAPJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
Open binary protocol
Supported programming languagesAll languages with LDAP bindingsGroovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnoLua, C and SQL stored procedures
Triggersyesnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding, 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 nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system levelAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate 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 integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlLDAP bind authenticationUsers, roles and permissionsnoAccess 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 RepositoryHugeGraphHypertableTarantool
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