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DBMS > FileMaker vs. GreptimeDB vs. Memgraph vs. Sphinx

System Properties Comparison FileMaker vs. GreptimeDB vs. Memgraph vs. Sphinx

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMemgraph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source Time Series DBMS built for increased scalability, high performance and efficiencyAn open source graph database built for real-time streaming and compatible with Neo4jOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.claris.com/­filemakergreptime.commemgraph.comsphinxsearch.com
Technical documentationwww.claris.com/­resources/­documentationdocs.greptime.commemgraph.com/­docssphinxsearch.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperClaris infoa subsidiary of AppleGreptime Inc.Memgraph LtdSphinx Technologies Inc.
Initial release1983202220172001
Current release19.4.1, November 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++C++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleschema-free and schema-optionalyes
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.yes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infovia pluginsyesnoSQL-like query language (SphinxQL)
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC
HTTP API
JDBC
Bolt protocol
Cypher query language
Proprietary protocol
Supported programming languagesPHPC++
Erlang
Go
Java
JavaScript
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesPythonno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infodynamic graph partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes 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.yes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesSimple rights management via user accountsUsers, roles and permissionsno
More information provided by the system vendor
FileMakerGreptimeDBMemgraphSphinx
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
You can check out our pricing model and licenses on the company website .
» more

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More resources
FileMakerGreptimeDBMemgraphSphinx
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