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DBMS > Apache Druid vs. Coveo vs. Databricks vs. Memgraph vs. Quasardb

System Properties Comparison Apache Druid vs. Coveo vs. Databricks vs. Memgraph vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCoveo  Xexclude from comparisonDatabricks  Xexclude from comparisonMemgraph  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentThe 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 Neo4jDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Search engineDocument store
Relational DBMS
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitedruid.apache.orgwww.coveo.comwww.databricks.commemgraph.comquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.coveo.comdocs.databricks.commemgraph.com/­docsdoc.quasar.ai/­master
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation and contributorsCoveoDatabricksMemgraph Ltdquasardb
Initial release20122012201320172009
Current release29.0.1, April 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
hostedhostedLinuxBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedhybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFlexible Schema (defined schema, partial schema, schema free)schema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.nonoyesnono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingnowith Databricks SQLnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Python
Python
R
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesSharding infodynamic graph partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyesMulti-source replication using RAFTSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemgranular access controls, API key management, content filtersUsers, roles and permissionsCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidCoveoDatabricksMemgraphQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Apache DruidCoveoDatabricksMemgraphQuasardb
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