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DBMS > Apache Impala vs. Datomic vs. NuoDB vs. Riak KV

System Properties Comparison Apache Impala vs. Datomic vs. NuoDB vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonNuoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteimpala.apache.orgwww.datomic.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comdoc.nuodb.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectDassault Systèmes infooriginally NuoDB, Inc.OpenSource, formerly Basho Technologies
Initial release2013201220132009
Current release4.1.0, June 20221.0.7075, December 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercial infolimited edition freeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureC++Erlang
Server operating systemsLinuxAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction FunctionsJava, SQLErlang
TriggersnoBy using transaction functionsyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersdata is dynamically stored/cached on the nodes where it is read/writtenSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersyes infoManaged transparently by NuoDBselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infoTemporary table
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoStandard SQL roles/ privileges, Administrative Usersyes, using Riak Security

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More resources
Apache ImpalaDatomicNuoDBRiak KV
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