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DBMS > FileMaker vs. Google Cloud Bigtable vs. InfinityDB vs. JanusGraph vs. Prometheus

System Properties Comparison FileMaker vs. Google Cloud Bigtable vs. InfinityDB vs. JanusGraph vs. Prometheus

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInfinityDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A Java embedded Key-Value Store which extends the Java Map interfaceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value store
Wide column store
Key-value storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.claris.com/­filemakercloud.google.com/­bigtableboilerbay.comjanusgraph.orgprometheus.io
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docsboilerbay.com/­infinitydb/­manualdocs.janusgraph.orgprometheus.io/­docs
DeveloperClaris infoa subsidiary of AppleGoogleBoiler Bay Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release19832015200220172015
Current release19.4.1, November 20214.00.6.3, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
Windows
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesNumeric data only
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 formatnononono infoImport of XML data possible
Secondary indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLyes infovia pluginsnononono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP/JSON API
Supported programming languagesPHPC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaClojure
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Internal replication in Colossus, and regional replication between two clusters in different zonesnoneyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUser authentification and security via Rexster Graph Serverno

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More resources
FileMakerGoogle Cloud BigtableInfinityDBJanusGraph infosuccessor of TitanPrometheus
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