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DBMS > Apache Impala vs. Drizzle vs. Memgraph vs. Microsoft SQL Server vs. QuestDB

System Properties Comparison Apache Impala vs. Drizzle vs. Memgraph vs. Microsoft SQL Server vs. QuestDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuestDB  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 HadoopMySQL 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 Neo4jMicrosofts flagship relational DBMSA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websiteimpala.apache.orgmemgraph.comwww.microsoft.com/­en-us/­sql-serverquestdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlmemgraph.com/­docslearn.microsoft.com/­en-US/­sql/­sql-serverquestdb.io/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerMemgraph LtdMicrosoftQuestDB Technology Inc
Initial release20132008201719892014
Current release4.1.0, June 20227.2.4, September 2012SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLcommercial infoFree license availablecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++C++Java (Zero-GC), C++, Rust
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinux
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free and schema-optionalyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsnoyesSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
JDBCBolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
PHP
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication using RAFTyes, but depending on the SQL-Server EditionSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaDrizzleMemgraphMicrosoft SQL ServerQuestDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache ImpalaDrizzleMemgraphMicrosoft SQL ServerQuestDB
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