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DBMS > Alibaba Cloud TSDB vs. Apache Impala vs. Apache IoTDB vs. TDSQL for MySQL vs. Titan

System Properties Comparison Alibaba Cloud TSDB vs. Apache Impala vs. Apache IoTDB vs. TDSQL for MySQL vs. Titan

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonTDSQL for MySQL  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.
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceAnalytic DBMS for HadoopAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#306  Overall
#26  Time Series DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbimpala.apache.orgiotdb.apache.orgwww.tencentcloud.com/­products/­dcdbgithub.com/­thinkaurelius/­titan
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.tencentcloud.com/­document/­product/­1042github.com/­thinkaurelius/­titan/­wiki
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationTencentAurelius, owned by DataStax
Initial release2013201820132012
Current release4.1.0, June 20221.1.0, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemshostedLinuxAll OS with a Java VM (>= 1.8)hostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyesyes
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyesno
APIs and other access methodsHTTP RESTJDBC
ODBC
JDBC
Native API
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesyesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Automatic shardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceIntegration with Hadoop and Sparknoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonoyesno
User concepts infoAccess controlAccess managed on TSDB instance levelAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesUsers with fine-grained authorization conceptUser authentification and security via Rexster Graph Server

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More resources
Alibaba Cloud TSDBApache ImpalaApache IoTDBTDSQL for MySQLTitan
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