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DBMS > EJDB vs. HarperDB vs. Hawkular Metrics vs. Titan

System Properties Comparison EJDB vs. HarperDB vs. Hawkular Metrics vs. Titan

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  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.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeDocument storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score0.55
Rank#243  Overall
#38  Document stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbwww.harperdb.iowww.hawkular.orggithub.com/­thinkaurelius/­titan
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­thinkaurelius/­titan/­wiki
DeveloperSoftmotionsHarperDBCommunity supported by Red HatAurelius, owned by DataStax
Initial release2012201720142012
Current release3.1, August 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache license, version 2.0
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.
Implementation languageCNode.jsJavaJava
Server operating systemsserver-lessLinux
OS X
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freedynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes infoJSON data typesyesyes
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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsnono
APIs and other access methodsin-process shared libraryJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1noyes
Triggersnonoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterSharding infobased on Cassandrayes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes 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.yesno
User concepts infoAccess controlnoAccess rights for users and rolesnoUser authentification and security via Rexster Graph Server

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More resources
EJDBHarperDBHawkular MetricsTitan
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Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database
24 August 2015, AWS Blog

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3 February 2015, VentureBeat

Database Deep Dives: JanusGraph
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