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DBMS > GBase vs. LMDB vs. Spark SQL vs. Transwarp Hippo

System Properties Comparison GBase vs. LMDB vs. Spark SQL vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonLMDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performant, light-weight, embedded key-value database librarySpark SQL is a component on top of 'Spark Core' for structured data processingCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.gbase.cnwww.symas.com/­symas-embedded-database-lmdbspark.apache.org/­sqlwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.lmdb.tech/­docspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeneral Data Technology Co., Ltd.SymasApache Software Foundation
Initial release2004201120142023
Current releaseGBase 8a, GBase 8s, GBase 8c0.9.32, January 20243.5.0 ( 2.13), September 20231.0, May 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonCScalaC++
Server operating systemsLinuxLinux
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.yesnonono
Secondary indexesyesnonono
SQL infoSupport of SQLStandard with numerous extensionsnoSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Java
Python
R
Scala
C++
Java
Python
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesnoyes
User concepts infoAccess controlyesnonoRole based access control and fine grained access rights

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More resources
GBaseLMDBSpark SQLTranswarp Hippo
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