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DBMS > Apache Impala vs. Atos Standard Common Repository vs. GridGain vs. RDF4J vs. SwayDB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. GridGain vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGridGain  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGridGain is an in-memory computing platform, built on Apache IgniteRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
RDF storeKey-value store
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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comrdf4j.orgswaydb.simer.au
Technical documentationimpala.apache.org/­impala-docs.htmlwww.gridgain.com/­docs/­index.htmlrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsGridGain Systems, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release20132016200720042018
Current release4.1.0, June 20221703GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, C++, .NetJavaScala
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.noyesyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBC
ODBC
LDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationSecurity Hooks for custom implementationsnono

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More resources
Apache ImpalaAtos Standard Common RepositoryGridGainRDF4J infoformerly known as SesameSwayDB
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