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DBMS > Databend vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. Teradata

System Properties Comparison Databend vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. Teradata

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata  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 complexityDistributed Event Store optimized for Internet of Things use casesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­synapse-analyticswww.teradata.com
Technical documentationdocs.databend.comwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­azure/­synapse-analyticsdocs.teradata.com
DeveloperDatabend LabsIBMMicrosoftTeradata
Initial release2021201720161984
Current release1.0.59, April 20232.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC and C++C++
Server operating systemshosted
Linux
macOS
Linux infoLinux, macOS, Windows for the developer additionhostedhosted
Linux
Data schemeyesyesyesyes
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.nononoyes
Secondary indexesnonoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeyesyes infoSQL 2016 + extensions
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
PHP
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesTransact SQLyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
DatabendIBM Db2 Event StoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata
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