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DBMS > Badger vs. FileMaker vs. GigaSpaces vs. Microsoft SQL Server vs. Sphinx

System Properties Comparison Badger vs. FileMaker vs. GigaSpaces vs. Microsoft SQL Server vs. Sphinx

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMicrosofts flagship relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerwww.gigaspaces.comwww.microsoft.com/­en-us/­sql-serversphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-US/­sql/­sql-serversphinxsearch.com/­docs
DeveloperDGraph LabsClaris infoa subsidiary of AppleGigaspaces TechnologiesMicrosoftSphinx Technologies Inc.
Initial release20171983200019892001
Current release19.4.1, November 202115.5, September 2020SQL Server 2022, November 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageGoJava, C++, .NetC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesno
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 infoA http query request can return the data in XML formatno infoXML can be used for describing objects metadatayes
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infovia pluginsSQL-99 for query and DML statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocol
Supported programming languagesGoPHP.Net
C++
Java
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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 controlnosimple rights management via user accounts and connection to external directory servicesRole-based access controlfine grained access rights according to SQL-standardno

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More resources
BadgerFileMakerGigaSpacesMicrosoft SQL ServerSphinx
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