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DBMS > atoti vs. GBase vs. HugeGraph vs. LeanXcale

System Properties Comparison atoti vs. GBase vs. HugeGraph vs. LeanXcale

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A fast-speed and highly-scalable Graph DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelObject oriented DBMSRelational DBMSGraph DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websiteatoti.iowww.gbase.cngithub.com/­hugegraph
hugegraph.apache.org
www.leanxcale.com
Technical documentationdocs.atoti.iohugegraph.apache.org/­docs
DeveloperActiveViamGeneral Data Technology Co., Ltd.BaiduLeanXcale
Initial release200420182015
Current releaseGBase 8a, GBase 8s, GBase 8c0.9
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, PythonJava
Server operating systemsLinuxLinux
macOS
Unix
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLMultidimensional Expressions (MDX)Standard with numerous extensionsnoyes infothrough Apache Derby
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#Groovy
Java
Python
C
Java
Scala
Server-side scripts infoStored proceduresPythonuser defined functionsasynchronous Gremlin script jobs
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesUsers, roles and permissions

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More resources
atotiGBaseHugeGraphLeanXcale
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