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DBMS > AnzoGraph DB vs. Badger vs. Hawkular Metrics vs. Interbase vs. Microsoft Access

System Properties Comparison AnzoGraph DB vs. Badger vs. Hawkular Metrics vs. Interbase vs. Microsoft Access

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBadger  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from BorlandMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­dgraph-io/­badgerwww.hawkular.orgwww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgodoc.org/­github.com/­dgraph-io/­badgerwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­access
DeveloperCambridge SemanticsDGraph LabsCommunity supported by Red HatEmbarcaderoMicrosoft
Initial release20182017201419841992
Current release2.3, January 2021InterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
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 languageGoJavaCC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesyes
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.nononono infoexport as XML data possible
Secondary indexesnononoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyesyes infobut not compliant to any SQL standard
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP RESTADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC++
Java
Python
GoGo
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engine
Triggersnonoyes infovia Hawkular Alertingyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneselectable replication factor infobased on CassandraInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights for users and rolesnonofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
AnzoGraph DBBadgerHawkular MetricsInterbaseMicrosoft Access
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