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DBMS > Apache Impala vs. Kingbase vs. Prometheus vs. SurrealDB

System Properties Comparison Apache Impala vs. Kingbase vs. Prometheus vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKingbase  Xexclude from comparisonPrometheus  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open-source Time Series DBMS and monitoring systemA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteimpala.apache.orgwww.kingbase.com.cnprometheus.iosurrealdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlprometheus.io/­docssurrealdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBeiJing KINGBASE Information technologies inc.SurrealDB Ltd
Initial release2013199920152022
Current release4.1.0, June 2022V8.0, August 2021v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and JavaGoRust
Server operating systemsLinuxLinux
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.noyesno infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP/JSON APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoby Federation
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 Consistencynone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardnoyes, based on authentication and database rules

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More resources
Apache ImpalaKingbasePrometheusSurrealDB
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