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DBMS > Apache Impala vs. TDengine vs. Titan vs. XTDB

System Properties Comparison Apache Impala vs. TDengine vs. Titan vs. XTDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonTDengine  Xexclude from comparisonTitan  Xexclude from comparisonXTDB infoformerly named Crux  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.
DescriptionAnalytic DBMS for HadoopTime Series DBMS and big data platformTitan is a Graph DBMS optimized for distributed clusters.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSGraph DBMSDocument store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websiteimpala.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
github.com/­thinkaurelius/­titangithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.tdengine.comgithub.com/­thinkaurelius/­titan/­wikiwww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaTDEngine, previously Taos DataAurelius, owned by DataStaxJuxt Ltd.
Initial release2013201920122019
Current release4.1.0, June 20223.0, August 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache license, version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaClojure
Server operating systemsLinuxLinux
Windows
Linux
OS X
Unix
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Clojure
Java
Python
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesno
Triggersnoyes, via alarm monitoringyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Apache ImpalaTDengineTitanXTDB infoformerly named Crux
Specific characteristicsTDengineā„¢ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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More resources
Apache ImpalaTDengineTitanXTDB infoformerly named Crux
DB-Engines blog posts

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Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera brings Apache Iceberg data lake format to its Data Platform
30 June 2022, SiliconANGLE News

Hudi: Uber Engineeringā€™s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

Updates & Upserts in Hadoop Ecosystem with Apache Kudu
27 October 2017, KDnuggets

provided by Google News

TDengine Cloud released to developers
19 October 2022, App Developer Magazine

TDengine Brings Open Source Time-Series Database to Kubernetes
19 April 2023, Cloud Native Now

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

MindsDB is now the leading and fastest growing applied ML platform in the world
3 November 2022, PR Newswire

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

provided by Google News



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