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DBMS > Apache Impala vs. DuckDB vs. KeyDB vs. NuoDB vs. YottaDB

System Properties Comparison Apache Impala vs. DuckDB vs. KeyDB vs. NuoDB vs. YottaDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDuckDB  Xexclude from comparisonKeyDB  Xexclude from comparisonNuoDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, in-process, column-oriented SQL OLAP RDBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsNuoDB is a webscale distributed database that supports SQL and ACID transactionsA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteimpala.apache.orgduckdb.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.3ds.com/­nuodb-distributed-sql-databaseyottadb.com
Technical documentationimpala.apache.org/­impala-docs.htmlduckdb.org/­docsdocs.keydb.devdoc.nuodb.comyottadb.com/­resources/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEQ Alpha Technology Ltd.Dassault Systèmes infooriginally NuoDB, Inc.YottaDB, LLC
Initial release20132018201920132001
Current release4.1.0, June 20221.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoBSD-3commercial infolimited edition freeOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++C++C
Server operating systemsLinuxserver-lessLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Docker
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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.nonononono
Secondary indexesyesyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyesby using the Octo plugin
APIs and other access methodsJDBC
ODBC
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoLuaJava, SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infotunable commit protocoloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoMVCC
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTemporary tableyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnosimple password-based access control and ACLStandard SQL roles/ privileges, Administrative UsersUsers and groups based on OS-security mechanisms

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More resources
Apache ImpalaDuckDBKeyDBNuoDBYottaDB
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