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DBMS > Databricks vs. Firebase Realtime Database vs. Kyligence Enterprise vs. SAP HANA vs. WakandaDB

System Properties Comparison Databricks vs. Firebase Realtime Database vs. Kyligence Enterprise vs. SAP HANA vs. WakandaDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSAP HANA  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionThe 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.A distributed analytics engine for big data, built on top of Apache KylinIn-memory, column based data store. Available as appliance or cloud serviceWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
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
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.databricks.comfirebase.google.com/­products/­realtime-databasekyligence.io/­kyligence-enterprisewww.sap.com/­products/­hana.htmlwakanda.github.io
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­databasehelp.sap.com/­hanawakanda.github.io/­doc
DeveloperDatabricksGoogle infoacquired by Google 2014Kyligence, Inc.SAPWakanda SAS
Initial release20132012201620102012
Current release2.0 SPS07 (April 4, 2023), April 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaScript
Server operating systemshostedhostedLinuxAppliance or cloud-serviceLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesyes
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.yesnononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoANSI SQL for queries (using Apache Calcite)yesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Java
JavaScript
Objective-C
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'SQLScript, Ryes
TriggersCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
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.nonoyesno
User concepts infoAccess controlyes, based on authentication and database rulesyesyes
More information provided by the system vendor
DatabricksFirebase Realtime DatabaseKyligence EnterpriseSAP HANAWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFirebase Realtime DatabaseKyligence EnterpriseSAP HANAWakandaDB
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