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DBMS > Alibaba Cloud Table Store vs. AllegroGraph vs. Apache IoTDB vs. etcd vs. YottaDB

System Properties Comparison Alibaba Cloud Table Store vs. AllegroGraph vs. Apache IoTDB vs. etcd vs. YottaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAllegroGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonetcd  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHigh performance, persistent RDF store with additional support for Graph DBMSAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA distributed reliable key-value storeA fast and solid embedded Key-value store
Primary database modelWide column storeDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSKey-value storeKey-value store
Secondary database modelsSpatial DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.alibabacloud.com/­product/­table-storeallegrograph.comiotdb.apache.orgetcd.io
github.com/­etcd-io/­etcd
yottadb.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorefranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
yottadb.com/­resources/­documentation
DeveloperAlibabaFranz Inc.Apache Software FoundationYottaDB, LLC
Initial release2016200420182001
Current release8.0, December 20231.1.0, April 20233.4, August 2019
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM (>= 1.8)FreeBSD
Linux
Windows infoexperimental
Docker
Linux
Data schemeschema-freeyes infoRDF schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nono infobulk load of XML files possiblenonono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnoSPARQL is used as query languageSQL-like query languagenoby using the Octo plugin
APIs and other access methodsHTTP APIRESTful HTTP API
SPARQL
JDBC
Native API
gRPC
JSON over HTTP
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJava
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes infoJavaScript or Common Lispyesno
Triggersnoyesyesyes, watching key changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicewith Federationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesnoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensUsers with fine-grained authorization concept, user roles and pluggable authenticationyesnoUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Alibaba Cloud Table StoreAllegroGraphApache IoTDBetcdYottaDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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