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DBMS > FileMaker vs. GeoMesa vs. LevelDB vs. Microsoft Azure Cosmos DB vs. VictoriaMetrics

System Properties Comparison FileMaker vs. GeoMesa vs. LevelDB vs. Microsoft Azure Cosmos DB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGeoMesa  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database serviceA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSSpatial DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.claris.com/­filemakerwww.geomesa.orggithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-dbvictoriametrics.com
Technical documentationwww.claris.com/­resources/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­azure/­cosmos-dbdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperClaris infoa subsidiary of AppleCCRi and othersGoogleMicrosoftVictoriaMetrics
Initial release19832014201120142018
Current release19.4.1, November 20215.0.0, May 20241.23, February 2021v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoBSDcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++Go
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
hostedFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON types
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 formatnonono
Secondary indexesyesyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyes infovia pluginsnonoSQL-like query languageno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesPHPC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyesnonoJavaScriptno
TriggersyesnonoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layernoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14depending on storage layernoneyes infoImplicit feature of the cloud serviceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesyes infodepending on the DBMS used for storagenoAccess rights can be defined down to the item level

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More resources
FileMakerGeoMesaLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVictoriaMetrics
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