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DBMS > Apache Impala vs. Coveo vs. NSDb vs. ToroDB

System Properties Comparison Apache Impala vs. Coveo vs. NSDb vs. ToroDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonNSDb  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSSearch engineTime Series DBMSDocument store
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
Score2.11
Rank#118  Overall
#11  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websiteimpala.apache.orgwww.coveo.comnsdb.iogithub.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comnsdb.io/­Architecture
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveo8Kdata
Initial release2013201220172016
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaJava
Server operating systemsLinuxhostedLinux
macOS
All OS with a Java 7 VM
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosgranular access controls, API key management, content filtersAccess rights for users and roles

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More resources
Apache ImpalaCoveoNSDbToroDB
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