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DBMS > Databricks vs. H2GIS vs. Heroic vs. XTDB

System Properties Comparison Databricks vs. H2GIS vs. Heroic vs. XTDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonH2GIS  Xexclude from comparisonHeroic  Xexclude from comparisonXTDB infoformerly named Crux  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.Spatial extension of H2Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Spatial DBMSTime Series DBMSDocument store
Secondary database modelsRelational 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
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.databricks.comwww.h2gis.orggithub.com/­spotify/­heroicgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comwww.h2gis.org/­docs/­homespotify.github.io/­heroicwww.xtdb.com/­docs
DeveloperDatabricksCNRSSpotifyJuxt Ltd.
Initial release2013201320142019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaClojure
Server operating systemshostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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.yesnonono
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLwith Databricks SQLyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP REST
JDBC
Supported programming languagesPython
R
Scala
JavaClojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infobased on H2nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on H2yesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infobased on H2
More information provided by the system vendor
DatabricksH2GISHeroicXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksH2GISHeroicXTDB infoformerly named Crux
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