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DBMS > FileMaker vs. Hawkular Metrics vs. Hive vs. Neo4j

System Properties Comparison FileMaker vs. Hawkular Metrics vs. Hive vs. Neo4j

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.data warehouse software for querying and managing large distributed datasets, built on HadoopScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Websitewww.claris.com/­filemakerwww.hawkular.orghive.apache.orgneo4j.com
Technical documentationwww.claris.com/­resources/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homeneo4j.com/­docs
DeveloperClaris infoa subsidiary of AppleCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookNeo4j, Inc.
Initial release1983201420122007
Current release19.4.1, November 20213.1.3, April 20225.19, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL version3, commercial licenses available
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaJavaJava, Scala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyes
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 formatno
Secondary indexesyesnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infovia pluginsnoSQL-like DML and DDL statementsno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HTTP RESTJDBC
ODBC
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesPHPGo
Java
Python
Ruby
C++
Java
PHP
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceyes infoUser defined Procedures and Functions
Triggersyesyes infovia Hawkular Alertingnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factor infobased on Cassandraselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesnoAccess rights for users, groups and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
FileMakerHawkular MetricsHiveNeo4j
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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