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DBMS > Apache Impala vs. Oracle NoSQL vs. Riak TS vs. Sphinx vs. Warp 10

System Properties Comparison Apache Impala vs. Oracle NoSQL vs. Riak TS vs. Sphinx vs. Warp 10

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMSSearch engineTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteimpala.apache.orgwww.oracle.com/­database/­nosql/­technologies/­nosqlsphinxsearch.comwww.warp10.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOracleOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.SenX
Initial release20132011201520012015
Current release4.1.0, June 202223.3, December 20233.0.0, September 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlangC++Java
Server operating systemsLinuxLinux
Solaris SPARC/x86
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptionalnonoyes
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 indexesyesyesrestrictedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes, limitedSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP API
Native Erlang Interface
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
Go
Java
JavaScript (Node.js)
Python
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoErlangnoyes infoWarpScript
Triggersnonoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureselectable replication factornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurable infoACID within a storage node (=shard)nonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesnonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache ImpalaOracle NoSQLRiak TSSphinxWarp 10
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