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DBMS > Databricks vs. H2 vs. Heroic vs. LevelDB vs. Teradata

System Properties Comparison Databricks vs. H2 vs. Heroic vs. LevelDB vs. Teradata

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonTeradata  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.databricks.comwww.h2database.comgithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.teradata.com
Technical documentationdocs.databricks.comwww.h2database.com/­html/­main.htmlspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.teradata.com
DeveloperDatabricksThomas MuellerSpotifyGoogleTeradata
Initial release20132005201420111984
Current release2.2.220, July 20231.23, February 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java VMIllumos
Linux
OS X
Windows
hosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnononoyes
Secondary indexesyesyesyes infovia Elasticsearchnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLwith Databricks SQLyesnonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesPython
R
Scala
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksH2HeroicLevelDBTeradata
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksH2HeroicLevelDBTeradata
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