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DBMS > Apache Impala vs. Dgraph vs. FeatureBase

System Properties Comparison Apache Impala vs. Dgraph vs. FeatureBase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDgraph  Xexclude from comparisonFeatureBase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed and scalable native Graph DBMSReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
Primary database modelRelational DBMSGraph 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
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Websiteimpala.apache.orgdgraph.iowww.featurebase.com
Technical documentationimpala.apache.org/­impala-docs.htmldgraph.io/­docsdocs.featurebase.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDgraph Labs, Inc.Molecula and Pilosa Open Source Contributors
Initial release201320162017
Current release4.1.0, June 20222022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoGo
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL queries
APIs and other access methodsJDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication via Raftyes
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsync
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 Kerberosno infoPlanned for future releases

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More resources
Apache ImpalaDgraphFeatureBase
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