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DBMS > eXtremeDB vs. Firebase Realtime Database vs. HBase vs. Newts vs. SurrealDB

System Properties Comparison eXtremeDB vs. Firebase Realtime Database vs. HBase vs. Newts vs. SurrealDB

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonNewts  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS based on CassandraA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMS
Time Series DBMS
Document storeWide column storeTime Series DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.mcobject.comfirebase.google.com/­products/­realtime-databasehbase.apache.orgopennms.github.io/­newtssurrealdb.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmlgithub.com/­OpenNMS/­newts/­wikisurrealdb.com/­docs
DeveloperMcObjectGoogle infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetOpenNMS GroupSurrealDB Ltd
Initial release20012012200820142022
Current release8.2, 20212.3.4, January 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaJavaRust
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes
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.no infosupport of XML interfaces availablenonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnononoSQL-like query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HTTP REST
Java API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Java
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yes infoCoprocessors in Javano
Triggersyes infoby defining eventsCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
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.yesyesno
User concepts infoAccess controlyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyes, based on authentication and database rules
More information provided by the system vendor
eXtremeDBFirebase Realtime DatabaseHBaseNewtsSurrealDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
eXtremeDBFirebase Realtime DatabaseHBaseNewtsSurrealDB
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