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DBMS > Databricks vs. GBase vs. Google Cloud Firestore vs. Ignite vs. Tkrzw

System Properties Comparison Databricks vs. GBase vs. Google Cloud Firestore vs. Ignite vs. Tkrzw

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIgnite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.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 concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.databricks.comwww.gbase.cnfirebase.google.com/­products/­firestoreignite.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­firestoreapacheignite.readme.io/­docs
DeveloperDatabricksGeneral Data Technology Co., Ltd.GoogleApache Software FoundationMikio Hirabayashi
Initial release20132004201720152020
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.60.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++, Java, .NetC++
Server operating systemshostedLinuxhostedLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesyesnoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLStandard with numerous extensionsnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesPython
R
Scala
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes, with Cloud Functionsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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.noyesyes infousing specific database classes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsno
More information provided by the system vendor
DatabricksGBaseGoogle Cloud FirestoreIgniteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGBaseGoogle Cloud FirestoreIgniteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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