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DBMS > Apache Impala vs. Firebolt vs. Geode vs. Prometheus

System Properties Comparison Apache Impala vs. Firebolt vs. Geode vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebolt  Xexclude from comparisonGeode  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series 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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteimpala.apache.orgwww.firebolt.iogeode.apache.orgprometheus.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.firebolt.iogeode.apache.org/­docsprometheus.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFirebolt Analytics Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release2013202020022015
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 GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo
Server operating systemsLinuxhostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (OQL)no
APIs and other access methodsJDBC
ODBC
.Net
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCGo
JavaScript (Node.js)
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsno
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerMulti-source replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeno
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights per client and object definableno

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Apache ImpalaFireboltGeodePrometheus
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