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DBMS > atoti vs. HugeGraph vs. LeanXcale vs. Yaacomo

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHugeGraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A fast-speed and highly-scalable Graph DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelObject oriented DBMSGraph DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websiteatoti.iogithub.com/­hugegraph
hugegraph.apache.org
www.leanxcale.comyaacomo.com
Technical documentationdocs.atoti.iohugegraph.apache.org/­docs
DeveloperActiveViamBaiduLeanXcaleQ2WEB GmbH
Initial release201820152009
Current release0.9
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
macOS
Unix
Android
Linux
Windows
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.nono
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infothrough Apache Derbyyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
C
Java
Scala
Server-side scripts infoStored proceduresPythonasynchronous Gremlin script jobs
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyes
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.yesyesyesyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
atotiHugeGraphLeanXcaleYaacomo
Recent citations in the news

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code
23 April 2024, GBHackers

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