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DBMS > Firebolt vs. Netezza vs. Stardog vs. Titan

System Properties Comparison Firebolt vs. Netezza vs. Stardog vs. Titan

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonStardog  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.
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseData warehouse and analytics appliance part of IBM PureSystemsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.firebolt.iowww.ibm.com/­products/­netezzawww.stardog.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.firebolt.iodocs.stardog.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperFirebolt Analytics Inc.IBMStardog-UnionAurelius, owned by DataStax
Initial release2020200020102012
Current release7.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinux infoincluded in applianceLinux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesuser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersnonoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationMulti-source replication in HA-Clusteryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-ClusterEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users and rolesUser authentification and security via Rexster Graph Server

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More resources
FireboltNetezza infoAlso called PureData System for Analytics by IBMStardogTitan
DB-Engines blog posts

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