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DBMS > Databricks vs. Ignite vs. KairosDB vs. Teradata

System Properties Comparison Databricks vs. Ignite vs. KairosDB vs. Teradata

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIgnite  Xexclude from comparisonKairosDB  Xexclude from comparisonTeradata  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Distributed Time Series DBMS based on Cassandra or H2A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Time Series 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.databricks.comignite.apache.orggithub.com/­kairosdb/­kairosdbwww.teradata.com
Technical documentationdocs.databricks.comapacheignite.readme.io/­docskairosdb.github.iodocs.teradata.com
DeveloperDatabricksApache Software FoundationTeradata
Initial release2013201520131984
Current releaseApache Ignite 2.61.2.2, November 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesnoyes
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLnoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Graphite protocol
HTTP REST
Telnet API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)noyes infoUDFs, stored procedures, table functions in parallel
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksIgniteKairosDBTeradata
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksIgniteKairosDBTeradata
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