DB-EnginesEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Hive vs. Teradata vs. Titan

System Properties Comparison Hive vs. Teradata vs. Titan

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonTeradata  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.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA hybrid cloud data analytics software platform (Teradata Vantage)Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.29
Rank#19  Overall
#13  Relational DBMS
Score44.52
Rank#22  Overall
#15  Relational DBMS
Websitehive.apache.orgwww.teradata.comgithub.com/­thinkaurelius/­titan
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.teradata.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoinitially developed by FacebookTeradataAurelius, owned by DataStax
Initial release201219842012
Current release3.1.3, April 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VMhosted
Linux
Linux
OS X
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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

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

More resources
HiveTeradataTitan
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

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

Apache Software Foundation Announces Apache Hive 4.0
30 April 2024, Datanami

Apache Hive 4.0 Launches, Revolutionizing Data Management and Analysis
30 June 2024, MSN

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS
18 October 2023, AWS Blog

What Is Apache Iceberg?
26 February 2024, IBM

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

provided by Google News

Texas Permanent School Fund Corp Increases Position in Teradata Co. (NYSE:TDC)
15 July 2024, American Banking and Market News

Bragar Eagel & Squire, P.C. Reminds Investors That Class
15 July 2024, GlobeNewswire

The Gross Law Firm Notifies Shareholders of Teradata Corporation(TDC) of a Class Action Lawsuit and an Upcoming Deadline
12 July 2024, PR Newswire

Data Science Platform Market Size, Share, Trends and Forecast 2030 | Dataiku, Alteryx, Inc., FICO, Teradata
15 July 2024, EIN News

Central Pacific Bank Trust Division Invests $126,000 in Teradata Co. (NYSE:TDC)
11 July 2024, Defense World

provided by Google News

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

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

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

Beyond Titan: The Evolution of DataStax’s New Graph Database
21 June 2016, Datanami

5 Q’s with Graph Database Expert Marko Rodriguez
9 November 2013, Center for Data Innovation

provided by Google News



Share this page

Featured Products

Neo4j logo

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

Milvus logo

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

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

Present your product here