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DBMS > etcd vs. FileMaker vs. Stardog vs. Trino

System Properties Comparison etcd vs. FileMaker vs. Stardog vs. Trino

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFileMaker  Xexclude from comparisonStardog  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA distributed reliable key-value storeFileMaker is a cross-platform RDBMS that includes a GUI frontend.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.claris.com/­filemakerwww.stardog.comtrino.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.claris.com/­resources/­documentationdocs.stardog.comtrino.io/­broadcast
trino.io/­docs/­current
DeveloperClaris infoa subsidiary of AppleStardog-UnionTrino Software Foundation
Initial release198320102012 info2020 rebranded from PrestoSQL
Current release3.4, August 201919.4.1, November 20217.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
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 languageGoJavaJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
iOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or datenoyesyesyes
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 infoImport/export of XML data possibleno
Secondary indexesnoyesyes infosupports real-time indexing in full-text and geospatialdepending on connected data-source
SQL infoSupport of SQLnoyes infovia pluginsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsgRPC
JSON over HTTP
Filemaker WebDirect
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
PHP.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functions and aggregates, HTTP Server extensions in Javayes, depending on connected data-source
Triggersyes, watching key changesyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonenonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication, warm standby infosince Version 14Multi-source replication in HA-Clusterdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Clusterdepending on connected data-source
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesAccess rights for users and rolesSQL standard access control
More information provided by the system vendor
etcdFileMakerStardogTrino
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More resources
etcdFileMakerStardogTrino
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