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DBMS > Databend vs. Databricks vs. Memgraph

System Properties Comparison Databend vs. Databricks vs. Memgraph

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatabricks  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityThe 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.An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSDocument store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#290  Overall
#130  Relational DBMS
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score2.54
Rank#98  Overall
#8  Graph DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.databricks.commemgraph.com
Technical documentationdocs.databend.comdocs.databricks.commemgraph.com/­docs
DeveloperDatabend LabsDatabricksMemgraph Ltd
Initial release202120132017
Current release1.0.59, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++
Server operating systemshosted
Linux
macOS
hostedLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free and schema-optional
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.noyesno
Secondary indexesnoyes
SQL infoSupport of SQLyeswith Databricks SQLno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Python
R
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication using RAFT
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 inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUsers, roles and permissions

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More resources
DatabendDatabricksMemgraph
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