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DBMS > Alibaba Cloud Table Store vs. Tarantool vs. TigerGraph vs. Warp 10

System Properties Comparison Alibaba Cloud Table Store vs. Tarantool vs. TigerGraph vs. Warp 10

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonTarantool  Xexclude from comparisonTigerGraph  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelWide column storeDocument store
Key-value store
Relational DBMS
Graph DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.tarantool.iowww.tigergraph.comwww.warp10.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.tarantool.io/­en/­docdocs.tigergraph.comwww.warp10.io/­content/­02_Getting_started
DeveloperAlibabaVKSenX
Initial release2016200820172015
Current release2.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterprisecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Java
Server operating systemshostedBSD
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyesschema-free
Typing infopredefined data types such as float or dateyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyesyes
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLnoFull-featured ANSI SQL supportSQL-like query language (GSQL)no
APIs and other access methodsHTTP APIOpen binary protocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesJava
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresnoLua, C and SQL stored proceduresyesyes infoWarpScript
Triggersnoyes, before/after data modification events, on replication events, client session eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyesyes
Durability infoSupport for making data persistentyesyes, write ahead loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistencenoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Role-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Alibaba Cloud Table StoreTarantoolTigerGraphWarp 10
DB-Engines blog posts

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

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