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DBMS > AlaSQL vs. GBase vs. Google Cloud Bigtable vs. HugeGraph vs. LeanXcale

System Properties Comparison AlaSQL vs. GBase vs. Google Cloud Bigtable vs. HugeGraph vs. LeanXcale

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHugeGraph  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionJavaScript DBMS libraryWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A fast-speed and highly-scalable Graph DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Wide column store
Graph DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitealasql.orgwww.gbase.cncloud.google.com/­bigtablegithub.com/­hugegraph
hugegraph.apache.org
www.leanxcale.com
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­bigtable/­docshugegraph.apache.org/­docs
DeveloperAndrey Gershun & Mathias R. WulffGeneral Data Technology Co., Ltd.GoogleBaiduLeanXcale
Initial release20142004201520182015
Current releaseGBase 8a, GBase 8s, GBase 8c0.9
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC, Java, PythonJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxhostedLinux
macOS
Unix
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyes
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.noyesnono
Secondary indexesnoyesnoyes infoalso supports composite index and range index
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.Standard with numerous extensionsnonoyes infothrough Apache Derby
APIs and other access methodsJavaScript APIADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesJavaScriptC#C#
C++
Go
Java
JavaScript (Node.js)
Python
Groovy
Java
Python
C
Java
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoasynchronous Gremlin script jobs
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions

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More resources
AlaSQLGBaseGoogle Cloud BigtableHugeGraphLeanXcale
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