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DBMS > Atos Standard Common Repository vs. Databricks vs. Firebase Realtime Database vs. GigaSpaces vs. Hypertable

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Firebase Realtime Database vs. GigaSpaces vs. Hypertable

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHypertable  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Document storeDocument store
Object oriented DBMS infoValues are user defined objects
Wide column store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comfirebase.google.com/­products/­realtime-databasewww.gigaspaces.com
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.html
DeveloperAtos Convergence CreatorsDatabricksGoogle infoacquired by Google 2014Gigaspaces TechnologiesHypertable Inc.
Initial release20162013201220002009
Current release170315.5, September 20200.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++
Server operating systemsLinuxhostedhostedLinux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesno
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.yesyesnono infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnowith Databricks SQLnoSQL-99 for query and DML statementsno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Thrift
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregateslimited functionality with using 'rules'yesno
TriggersyesCallbacks are triggered when data changesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationyes, based on authentication and database rulesRole-based access controlno
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksFirebase Realtime DatabaseGigaSpacesHypertable
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksFirebase Realtime DatabaseGigaSpacesHypertable
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