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DBMS > BigObject vs. Geode vs. Hawkular Metrics vs. OrigoDB vs. Titan

System Properties Comparison BigObject vs. Geode vs. Hawkular Metrics vs. OrigoDB vs. Titan

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGeode  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAnalytic DBMS for real-time computations and queriesGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph databaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeTime Series DBMSDocument store
Object oriented DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitebigobject.iogeode.apache.orgwww.hawkular.orgorigodb.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.bigobject.iogeode.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperBigObject, Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Community supported by Red HatRobert Friberg et alAurelius, owned by DataStax
Initial release2015200220142009 infounder the name LiveDB2012
Current release1.1, February 2017
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open SourceOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NET
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)nonono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HTTP REST.NET Client API
HTTP API
LINQ
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
Python
Ruby
.NetClojure
Java
Python
Server-side scripts infoStored proceduresLuauser defined functionsnoyesyes
Triggersnoyes infoCache Event Listenersyes infovia Hawkular Alertingyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationselectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonodepending on modelyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoAccess rights per client and object definablenoRole based authorizationUser authentification and security via Rexster Graph Server

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More resources
BigObjectGeodeHawkular MetricsOrigoDBTitan
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