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DBMS > Apache Impala vs. Infobright vs. openGemini vs. Qdrant

System Properties Comparison Apache Impala vs. Infobright vs. openGemini vs. Qdrant

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfobright  Xexclude from comparisonopenGemini  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSRelational DBMSTime Series DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websiteimpala.apache.orgignitetech.com/­softwarelibrary/­infobrightdbwww.opengemini.org
github.com/­openGemini
github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationimpala.apache.org/­impala-docs.htmldocs.opengemini.org/­guideqdrant.tech/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIgnite Technologies Inc.; formerly InfoBright Inc.Huawei and openGemini communityQdrant
Initial release2013200520222021
Current release4.1.0, June 20221.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CGoRust
Server operating systemsLinuxLinux
Windows
Linux
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, StringNumbers, Strings, Geo, Boolean
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 indexesyesno infoKnowledge Grid Technology used insteadyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP RESTgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesCollection-level 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 ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAdministrators and common users accountsKey-based authentication

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More resources
Apache ImpalaInfobrightopenGeminiQdrant
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