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DBMS > Apache Impala vs. Badger vs. FileMaker vs. Firebolt

System Properties Comparison Apache Impala vs. Badger vs. FileMaker vs. Firebolt

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonFirebolt  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Highly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelRelational DBMSKey-value storeRelational 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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Websiteimpala.apache.orggithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerwww.firebolt.io
Technical documentationimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.firebolt.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsClaris infoa subsidiary of AppleFirebolt Analytics Inc.
Initial release2013201719832020
Current release4.1.0, June 202219.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Go
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes infoA http query request can return the data in XML format
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infovia pluginsyes
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
.Net
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGoPHPGo
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replication, warm standby infosince Version 14depending 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 Consistencynone
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnosimple rights management via user accounts and connection to external directory services

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More resources
Apache ImpalaBadgerFileMakerFirebolt
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