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DBMS > Apache Drill vs. Bangdb vs. Kinetica vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Drill vs. Bangdb vs. Kinetica vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBangdb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageConverged and high performance database for device data, events, time series, document and graphFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitedrill.apache.orgbangdb.comwww.kinetica.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdrill.apache.org/­docsdocs.bangdb.comdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software FoundationSachin Sinha, BangDBKineticaMicrosoft
Initial release2012201220122016
Current release1.20.3, January 2023BangDB 2.0, October 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C, C++C++
Server operating systemsLinux
OS X
Windows
LinuxLinuxhosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL like support with command line toolSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++C
C#
C++
Java
Python
C++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsTransact SQL
Triggersnoyes, Notifications (with Streaming only)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes, run db with in-memory only modeyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourceyes (enterprise version only)Access rights for users and roles on table levelyes

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More resources
Apache DrillBangdbKineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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