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DBMS > Apache Impala vs. Atos Standard Common Repository vs. FeatureBase vs. Heroic vs. SwayDB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. FeatureBase vs. Heroic vs. SwayDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFeatureBase  Xexclude from comparisonHeroic  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 networksReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn 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
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.featurebase.comgithub.com/­spotify/­heroicswaydb.simer.au
Technical documentationimpala.apache.org/­impala-docs.htmldocs.featurebase.comspotify.github.io/­heroic
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsMolecula and Pilosa Open Source ContributorsSpotifySimer Plaha
Initial release20132016201720142018
Current release4.1.0, June 202217032022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoJavaScala
Server operating systemsLinuxLinuxLinux
macOS
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeschema-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.noyesnonono
Secondary indexesyesyesnoyes infovia Elasticsearchno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL queriesnono
APIs and other access methodsJDBC
ODBC
LDAPgRPC
JDBC
Kafka Connector
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsJava
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsyesnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationno

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More resources
Apache ImpalaAtos Standard Common RepositoryFeatureBaseHeroicSwayDB
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