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DBMS > CockroachDB vs. Databricks vs. Heroic vs. LevelDB vs. Titan

System Properties Comparison CockroachDB vs. Databricks vs. Heroic vs. LevelDB vs. Titan

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatabricks  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.The 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.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 valuesTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitewww.cockroachlabs.comwww.databricks.comgithub.com/­spotify/­heroicgithub.com/­google/­leveldbgithub.com/­thinkaurelius/­titan
Technical documentationwww.cockroachlabs.com/­docsdocs.databricks.comspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­thinkaurelius/­titan/­wiki
DeveloperCockroach LabsDatabricksSpotifyGoogleAurelius, owned by DataStax
Initial release20152013201420112012
Current release24.1.0, May 20241.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java
Server operating systemsLinux
macOS
Windows
hostedIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemedynamic schemaFlexible Schema (defined schema, partial schema, schema free)schema-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.noyesnono
Secondary indexesyesyesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLwith Databricks SQLnonono
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Clojure
Java
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRole-based access controlnoUser authentification and security via Rexster Graph Server
More information provided by the system vendor
CockroachDBDatabricksHeroicLevelDBTitan
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CockroachDBDatabricksHeroicLevelDBTitan
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