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DBMS > FileMaker vs. Graph Engine vs. Ignite vs. IRONdb vs. SwayDB

System Properties Comparison FileMaker vs. Graph Engine vs. Ignite vs. IRONdb vs. SwayDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIgnite  Xexclude from comparisonIRONdb  Xexclude from comparisonSwayDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.claris.com/­filemakerwww.graphengine.ioignite.apache.orgwww.circonus.com/solutions/time-series-database/swaydb.simer.au
Technical documentationwww.claris.com/­resources/­documentationwww.graphengine.io/­docs/­manualapacheignite.readme.io/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperClaris infoa subsidiary of AppleMicrosoftApache Software FoundationCirconus LLC.Simer Plaha
Initial release19832010201520172018
Current release19.4.1, November 2021Apache Ignite 2.6V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++, Java, .NetC and C++Scala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
.NETLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsno
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 formatnoyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infovia pluginsnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Supported programming languagesPHPC#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesyesyes (compute grid and cache interceptors can be used instead)yes, in Luano
Triggersyesnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes (replicated cache)configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesSecurity Hooks for custom implementationsnono

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More resources
FileMakerGraph Engine infoformer name: TrinityIgniteIRONdbSwayDB
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