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DBMS > FileMaker vs. GridDB vs. Stardog vs. Valentina Server vs. Vertica

System Properties Comparison FileMaker vs. GridDB vs. Stardog vs. Valentina Server vs. Vertica

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGridDB  Xexclude from comparisonStardog  Xexclude from comparisonValentina Server  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big DataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationObject-relational database and reports serverCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS infoColumn oriented
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score0.18
Rank#329  Overall
#144  Relational DBMS
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websitewww.claris.com/­filemakergriddb.netwww.stardog.comwww.valentina-db.netwww.vertica.com
Technical documentationwww.claris.com/­resources/­documentationdocs.griddb.netdocs.stardog.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpvertica.com/­documentation
DeveloperClaris infoa subsidiary of AppleToshiba CorporationStardog-UnionParadigma SoftwareOpenText infopreviously Micro Focus and Hewlett Packard
Initial release19832013201019992005
Current release19.4.1, November 20215.1, August 20227.3.0, May 20205.7.512.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
LinuxLinux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema supportyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infovia pluginsSQL92, SQL-like TQL (Toshiba Query Language)Yes, compatible with all major SQL variants through dedicated BI/SQL ServeryesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ODBCADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesPHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesnouser defined functions and aggregates, HTTP Server extensions in Javayesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyes infovia event handlersyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replicationMulti-source replication in HA-ClusterMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databaseAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
FileMakerGridDBStardogValentina ServerVertica infoOpenText™ Vertica™
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
FileMakerGridDBStardogValentina ServerVertica infoOpenText™ Vertica™
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