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DBMS > Apache Impala vs. FeatureBase vs. SQream DB

System Properties Comparison Apache Impala vs. FeatureBase vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFeatureBase  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSRelational DBMS
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
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteimpala.apache.orgwww.featurebase.comsqream.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.featurebase.comdocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMolecula and Pilosa Open Source ContributorsSQream Technologies
Initial release201320172017
Current release4.1.0, June 20222022, May 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL queriesyes
APIs and other access methodsJDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 persistentyesyes, using Linux fsyncyes
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 Kerberos

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More resources
Apache ImpalaFeatureBaseSQream DB
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