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DBMS > AnzoGraph DB vs. Drizzle vs. GigaSpaces vs. Hawkular Metrics

System Properties Comparison AnzoGraph DB vs. Drizzle vs. GigaSpaces vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.gigaspaces.comwww.hawkular.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerGigaspaces TechnologiesCommunity supported by Red Hat
Initial release2018200820002014
Current release2.3, January 20217.2.4, September 201215.5, September 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJava
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsSQL-99 for query and DML statementsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnono infohooks for callbacks inside the server can be used.yes, event driven architectureyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlno

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More resources
AnzoGraph DBDrizzleGigaSpacesHawkular Metrics
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