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DBMS > Apache Impala vs. PostGIS vs. RDF4J vs. YugabyteDB

System Properties Comparison Apache Impala vs. PostGIS vs. RDF4J vs. YugabyteDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPostGIS  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of PostgreSQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSSpatial DBMSRDF storeRelational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websiteimpala.apache.orgpostgis.netrdf4j.orgwww.yugabyte.com
Technical documentationimpala.apache.org/­impala-docs.htmlpostgis.net/­documentationrdf4j.org/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yugabyte Inc.
Initial release2013200520042017
Current release4.1.0, June 20223.4.2, February 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL v2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++CJavaC and C++
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
Data schemeyesyesyes infoRDF Schemasdepending on used data model
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesAll languages supporting JDBC/ODBCJava
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyesyes infosql, plpgsql, C
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on PostgreSQLnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
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 ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on PostgreSQLnoyes
More information provided by the system vendor
Apache ImpalaPostGISRDF4J infoformerly known as SesameYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
Apache ImpalaPostGISRDF4J infoformerly known as SesameYugabyteDB
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