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DBMS > Apache Impala vs. CockroachDB vs. EsgynDB vs. Microsoft Azure Cosmos DB vs. TiDB

System Properties Comparison Apache Impala vs. CockroachDB vs. EsgynDB vs. Microsoft Azure Cosmos DB vs. TiDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTiDB  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGlobally distributed, horizontally scalable, multi-model database serviceTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument storeSpatial DBMSDocument store
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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.25
Rank#74  Overall
#40  Relational DBMS
Websiteimpala.apache.orgwww.cockroachlabs.comwww.esgyn.cnazure.microsoft.com/­services/­cosmos-dbpingcap.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docslearn.microsoft.com/­azure/­cosmos-dbdocs.pingcap.com/­tidb/­stable
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsEsgynMicrosoftPingCAP, Inc.
Initial release20132015201520142016
Current release4.1.0, June 202224.1.0, May 20248.1.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++GoC++, JavaGo, Rust
Server operating systemsLinuxLinux
macOS
Windows
LinuxhostedLinux
Data schemeyesdynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON typesyes
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 indexesyesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
JDBCADO.NET
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJava Stored ProceduresJavaScriptno
TriggersnononoJavaScriptno
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 RAFTShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelFine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaCockroachDBEsgynDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
Apache ImpalaCockroachDBEsgynDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTiDB
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