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DBMS > Amazon DocumentDB vs. FileMaker vs. GridGain vs. Newts vs. TypeDB

System Properties Comparison Amazon DocumentDB vs. FileMaker vs. GridGain vs. Newts vs. TypeDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGridGain  Xexclude from comparisonNewts  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFileMaker is a cross-platform RDBMS that includes a GUI frontend.GridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS based on CassandraTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Time Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.claris.com/­filemakerwww.gridgain.comopennms.github.io/­newtstypedb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­OpenNMS/­newts/­wikitypedb.com/­docs
DeveloperClaris infoa subsidiary of AppleGridGain Systems, Inc.OpenNMS GroupVaticle
Initial release20191983200720142016
Current release19.4.1, November 2021GridGain 8.5.12.26.3, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJava
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 formatyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infovia pluginsANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Filemaker WebDirect
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
PHPC#
C++
Java
PHP
Python
Ruby
Scala
JavaAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infobased on CassandraSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication, warm standby infosince Version 14yes (replicated cache)selectable replication factor infobased on CassandraMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (compute grid and hadoop accelerator)noyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accounts and connection to external directory servicesSecurity Hooks for custom implementationsnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon DocumentDBFileMakerGridGainNewtsTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Amazon DocumentDBFileMakerGridGainNewtsTypeDB infoformerly named Grakn
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