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DBMS > Alibaba Cloud Table Store vs. Hazelcast vs. KeyDB vs. Sphinx

System Properties Comparison Alibaba Cloud Table Store vs. Hazelcast vs. KeyDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonHazelcast  Xexclude from comparisonKeyDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA widely adopted in-memory data gridAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeKey-value storeKey-value storeSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#294  Overall
#12  Wide column stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.63
Rank#232  Overall
#32  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­table-storehazelcast.comgithub.com/­Snapchat/­KeyDB
keydb.dev
sphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorehazelcast.org/­imdg/­docsdocs.keydb.devsphinxsearch.com/­docs
DeveloperAlibabaHazelcastEQ Alpha Technology Ltd.Sphinx Technologies Inc.
Initial release2016200820192001
Current release5.3.6, November 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-3Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VMLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.noyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyes infoby using the Redis Search moduleyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoProprietary protocol
Supported programming languagesJava
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesLuano
Triggersnoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoReplicated MapMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensRole-based access controlsimple password-based access control and ACLno

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More resources
Alibaba Cloud Table StoreHazelcastKeyDBSphinx
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