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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Dragonfly vs. Microsoft Azure AI Search vs. TDSQL for MySQL

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Dragonfly vs. Microsoft Azure AI Search vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSearch-as-a-service for web and mobile app developmentA 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.
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeSearch engineRelational DBMS
Secondary database modelsDocument storeVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
azure.microsoft.com/­en-us/­services/­searchwww.tencentcloud.com/­products/­dcdb
Technical documentationimpala.apache.org/­impala-docs.htmlwww.dragonflydb.io/­docslearn.microsoft.com/­en-us/­azure/­searchwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsDragonflyDB team and community contributorsMicrosoftTencent
Initial release20132016202320152013
Current release4.1.0, June 202217031.0, March 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSL 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinuxLinuxLinuxhostedhosted
Data schemeyesSchema and schema-less with LDAP viewsscheme-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.noyesnonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsJDBC
ODBC
LDAPProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
Java
JavaScript
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoLuanoyes
Triggersnoyespublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
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 Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsAtomic execution of command blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
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.noyesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationPassword-based authenticationyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
Apache ImpalaAtos Standard Common RepositoryDragonflyMicrosoft Azure AI SearchTDSQL for MySQL
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