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DBMS > Apache Impala vs. Coveo vs. Geode

System Properties Comparison Apache Impala vs. Coveo vs. Geode

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonGeode  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
Primary database modelRelational DBMSSearch engineKey-value store
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
Score2.28
Rank#114  Overall
#11  Search engines
Score1.92
Rank#131  Overall
#23  Key-value stores
Websiteimpala.apache.orgwww.coveo.comgeode.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comgeode.apache.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveoOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release201320122002
Current release4.1.0, June 20221.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2; commercial licenses available as Gemfire
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxhostedAll OS with a Java VM infothe JDK (8 or later) is also required
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
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (OQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functions
Triggersnoyesyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source 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 Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 Kerberosgranular access controls, API key management, content filtersAccess rights per client and object definable

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More resources
Apache ImpalaCoveoGeode
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