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DBMS > Databricks vs. Google BigQuery vs. H2

System Properties Comparison Databricks vs. Google BigQuery vs. H2

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonH2  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.Large scale data warehouse service with append-only tablesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.34
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score8.14
Rank#50  Overall
#32  Relational DBMS
Websitewww.databricks.comcloud.google.com/­bigquerywww.h2database.com
Technical documentationdocs.databricks.comcloud.google.com/­bigquery/­docswww.h2database.com/­html/­main.html
DeveloperDatabricksGoogleThomas Mueller
Initial release201320102005
Current release2.2.220, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesPython
R
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin JavaScriptJava Stored Procedures and User-Defined Functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGoogle BigQueryH2
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGoogle BigQueryH2
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