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DBMS > Apache Impala vs. Databricks vs. Drizzle vs. Memgraph vs. Oracle Coherence

System Properties Comparison Apache Impala vs. Databricks vs. Drizzle vs. Memgraph vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonMemgraph  Xexclude from comparisonOracle Coherence  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopThe 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source graph database built for real-time streaming and compatible with Neo4jOracles in-memory data grid solution
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSGraph DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteimpala.apache.orgwww.databricks.commemgraph.comwww.oracle.com/­java/­coherence
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databricks.commemgraph.com/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksDrizzle project, originally started by Brian AkerMemgraph LtdOracle
Initial release20132013200820172007
Current release4.1.0, June 20227.2.4, September 201214.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGNU GPLOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++Java
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
LinuxAll OS with a Java VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementswith Databricks SQLyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBCBolt protocol
Cypher query language
JCache
JPA
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
C
C++
Java
PHP
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesnono
Triggersnono infohooks for callbacks inside the server can be used.yes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
Multi-source replication using RAFTyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infowith snapshot isolationconfigurable
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 infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Apache ImpalaDatabricksDrizzleMemgraphOracle Coherence
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 ImpalaDatabricksDrizzleMemgraphOracle Coherence
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