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DBMS > Apache Impala vs. Coveo vs. Datomic vs. Firebolt

System Properties Comparison Apache Impala vs. Coveo vs. Datomic vs. Firebolt

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonDatomic  Xexclude from comparisonFirebolt  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHighly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS
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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Websiteimpala.apache.orgwww.coveo.comwww.datomic.comwww.firebolt.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comdocs.datomic.comdocs.firebolt.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveoCognitectFirebolt Analytics Inc.
Initial release2013201220122020
Current release4.1.0, June 20221.0.7075, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, Clojure
Server operating systemsLinuxhostedAll OS with a Java VMhosted
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIRESTful HTTP API.Net
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
Clojure
Java
Go
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoTransaction Functionsno
TriggersnoyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingyesnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone infoBut extensive use of caching in the application peersdepending on storage layer
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
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 development
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosgranular access controls, API key management, content filtersno

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More resources
Apache ImpalaCoveoDatomicFirebolt
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