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DBMS > atoti vs. Blazegraph vs. Databricks vs. GBase vs. Ignite

System Properties Comparison atoti vs. Blazegraph vs. Databricks vs. GBase vs. Ignite

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBlazegraph  Xexclude from comparisonDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.The 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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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.
Primary database modelObject oriented DBMSGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteatoti.ioblazegraph.comwww.databricks.comwww.gbase.cnignite.apache.org
Technical documentationdocs.atoti.iowiki.blazegraph.comdocs.databricks.comapacheignite.readme.io/­docs
DeveloperActiveViamBlazegraphDatabricksGeneral Data Technology Co., Ltd.Apache Software Foundation
Initial release2006201320042015
Current release2.1.5, March 2019GBase 8a, GBase 8s, GBase 8cApache Ignite 2.6
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, Java, PythonC++, Java, .Net
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes
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.yesyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SPARQL is used as query languagewith Databricks SQLStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Python
R
Scala
C#C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPythonyesuser defined functions and aggregatesuser defined functionsyes (compute grid and cache interceptors can be used instead)
Triggersnoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesnoyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)yesSecurity Hooks for custom implementations
More information provided by the system vendor
atotiBlazegraphDatabricksGBaseIgnite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
atotiBlazegraphDatabricksGBaseIgnite
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