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DBMS > Hypertable vs. JanusGraph vs. Netezza vs. RavenDB

System Properties Comparison Hypertable vs. JanusGraph vs. Netezza vs. RavenDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Data warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeGraph DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitejanusgraph.orgwww.ibm.com/­products/­netezzaravendb.net
Technical documentationdocs.janusgraph.orgravendb.net/­docs
DeveloperHypertable Inc.Linux Foundation; originally developed as Titan by AureliusIBMHibernating Rhinos
Initial release2009201720002010
Current release0.9.8.11, March 20160.6.3, February 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
Linux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.no
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (RQL)
APIs and other access methodsC++ API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Clojure
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyesyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engineyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization conceptAuthorization levels configured per client per database

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More resources
HypertableJanusGraph infosuccessor of TitanNetezza infoAlso called PureData System for Analytics by IBMRavenDB
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