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DBMS > Databricks vs. Graph Engine vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere

System Properties Comparison Databricks vs. Graph Engine vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionThe 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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store
Relational DBMS
Graph DBMS
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitewww.databricks.comwww.graphengine.iowww.hawkular.orgazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.databricks.comwww.graphengine.io/­docs/­manualwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperDatabricksMicrosoftCommunity supported by Red HatMicrosoftSAP infoformerly Sybase
Initial release20132010201420161992
Current release17, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CJavaC++
Server operating systemshosted.NETLinux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesyes
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.yesnononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnonoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP RESTADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesPython
R
Scala
C#
C++
F#
Visual Basic
Go
Java
Python
Ruby
C#
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoTransact SQLyes, in C/C++, Java, .Net or Perl
Triggersnoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandrayesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate 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 dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGraph Engine infoformer name: TrinityHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGraph Engine infoformer name: TrinityHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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