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DBMS > Databricks vs. Firebase Realtime Database vs. Ignite vs. TigerGraph

System Properties Comparison Databricks vs. Firebase Realtime Database vs. Ignite vs. TigerGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIgnite  Xexclude from comparisonTigerGraph  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Document storeKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.databricks.comfirebase.google.com/­products/­realtime-databaseignite.apache.orgwww.tigergraph.com
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­databaseapacheignite.readme.io/­docsdocs.tigergraph.com
DeveloperDatabricksGoogle infoacquired by Google 2014Apache Software Foundation
Initial release2013201220152017
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnoyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)yes
TriggersCallbacks are triggered when data changesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes
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
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes, based on authentication and database rulesSecurity Hooks for custom implementationsRole-based access control
More information provided by the system vendor
DatabricksFirebase Realtime DatabaseIgniteTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFirebase Realtime DatabaseIgniteTigerGraph
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