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DBMS > Apache Impala vs. CockroachDB vs. H2GIS vs. Microsoft Azure Table Storage vs. TDengine

System Properties Comparison Apache Impala vs. CockroachDB vs. H2GIS vs. Microsoft Azure Table Storage vs. TDengine

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonH2GIS  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Spatial extension of H2A Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSSpatial DBMSWide column storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteimpala.apache.orgwww.cockroachlabs.comwww.h2gis.orgazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docswww.h2gis.org/­docs/­homedocs.tdengine.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsCNRSMicrosoftTDEngine, previously Taos Data
Initial release20132015201320122019
Current release4.1.0, June 202224.1.0, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availableOpen Source infoLGPL 3.0commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaC
Server operating systemsLinuxLinux
macOS
Windows
hostedLinux
Windows
Data schemeyesdynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP APIJDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infobased on H2nono
Triggersnonoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTyes infobased on H2yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlyes infobased on H2Access rights based on private key authentication or shared access signaturesyes
More information provided by the system vendor
Apache ImpalaCockroachDBH2GISMicrosoft Azure Table StorageTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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Apache ImpalaCockroachDBH2GISMicrosoft Azure Table StorageTDengine
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