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DBMS > Galaxybase vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. Sphinx

System Properties Comparison Galaxybase vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. Sphinx

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Editorial information provided by DB-Engines
NameGalaxybase  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable, ACID-compliant native distributed parallel graph platformA widely adopted in-memory data gridElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Graph DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegalaxybase.comhazelcast.comazure.microsoft.com/­services/­synapse-analyticssphinxsearch.com
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docs
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司HazelcastMicrosoftSphinx Technologies Inc.
Initial release2017200820162001
Current releaseNov 20, November 20215.3.6, November 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaJavaC++C++
Server operating systemsLinuxAll OS with a Java VMhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeStrong typed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined procedures and functionsyes infoEvent Listeners, Executor ServicesTransact SQLno
Triggersyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyesnone
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 AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlRole-based access controlRole-based access controlyesno

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More resources
GalaxybaseHazelcastMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinx
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