DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Bangdb vs. SAP HANA vs. Titan vs. Transwarp StellarDB

System Properties Comparison Bangdb vs. SAP HANA vs. Titan vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonSAP HANA  Xexclude from comparisonTitan  Xexclude from comparisonTranswarp StellarDB  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.
DescriptionConverged and high performance database for device data, events, time series, document and graphIn-memory, column based data store. Available as appliance or cloud serviceTitan is a Graph DBMS optimized for distributed clusters.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSGraph DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score41.32
Rank#23  Overall
#16  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitebangdb.comwww.sap.com/­products/­hana.htmlgithub.com/­thinkaurelius/­titanwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.bangdb.comhelp.sap.com/­hanagithub.com/­thinkaurelius/­titan/­wiki
DeveloperSachin Sinha, BangDBSAPAurelius, owned by DataStaxTranswarp
Initial release201220102012
Current releaseBangDB 2.0, October 20212.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache license, version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono infoalso available as a cloud based servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinuxAppliance or cloud-serviceLinux
OS X
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyesnoSQL-like query language
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
OpenCypher
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnoSQLScript, Ryes
Triggersyes, Notifications (with Streaming only)yesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyesyes infovia pluggable storage backendshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)yesUser authentification and security via Rexster Graph Serveryes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BangdbSAP HANATitanTranswarp StellarDB
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

Combine the Power of AI with Business Context Using SAP HANA Cloud Vector Engine
2 April 2024, SAP News

Automating application-consistent Amazon EBS Snapshots for SAP HANA databases
6 February 2024, AWS Blog

SAP HANA and Leonardo Ecosystem Partners – ISG Provider Lens Study 2019 Results
16 September 2024, Capgemini

The best way to modernize your close & consolidation process in an SAP S/4 HANA environment
9 April 2024, Wolters Kluwer

SAP HANA Cloud Vector Engine
18 April 2024, IgniteSAP

provided by Google News

DataStax Acquires Aurelius and its TitanDB Graph Database
31 May 2024, Data Center Knowledge

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

DataStax acquires Aurelius, the startup behind the Titan graph database
3 February 2015, VentureBeat

Database Deep Dives: JanusGraph
8 August 2019, ibm.com

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here