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DBMS > Apache Impala vs. Databend vs. DataFS vs. Realm

System Properties Comparison Apache Impala vs. Databend vs. DataFS vs. Realm

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabend  Xexclude from comparisonDataFS  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSDocument store
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websiteimpala.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
newdatabase.comrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databend.comdev.mobiland.com/­Overview.xsprealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabend LabsMobiland AGRealm, acquired by MongoDB in May 2019
Initial release2013202120182014
Current release4.1.0, June 20221.0.59, April 20231.1.263, October 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Rust
Server operating systemsLinuxhosted
Linux
macOS
WindowsAndroid
Backend: server-less
iOS
Windows
Data schemeyesyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
VB.Net
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono inforuns within the applications so server-side scripts are unnecessary
Triggersnonono, except callback-events from server when changes happenedyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnoneProprietary Sharding systemnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept, user rolesWindows-Profileyes

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Apache ImpalaDatabendDataFSRealm
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