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DBMS > Apache Impala vs. Databend vs. RocksDB vs. STSdb

System Properties Comparison Apache Impala vs. Databend vs. RocksDB vs. STSdb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabend  Xexclude from comparisonRocksDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value store
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
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.03
Rank#365  Overall
#54  Key-value stores
Websiteimpala.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
rocksdb.orggithub.com/­STSSoft/­STSdb4
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databend.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabend LabsFacebook, Inc.STS Soft SC
Initial release2013202120132011
Current release4.1.0, June 20221.0.59, April 20239.4.0, June 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoBSDOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++RustC++C#
Server operating systemsLinuxhosted
Linux
macOS
LinuxWindows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesyesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
C++ API
Java API
.NET Client API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
Perl
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesnone
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
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyesno
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept, user rolesnono

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More resources
Apache ImpalaDatabendRocksDBSTSdb
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