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DBMS > BigObject vs. etcd vs. GBase vs. Spark SQL

System Properties Comparison BigObject vs. etcd vs. GBase vs. Spark SQL

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonetcd  Xexclude from comparisonGBase  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA distributed reliable key-value storeWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitebigobject.ioetcd.io
github.com/­etcd-io/­etcd
www.gbase.cnspark.apache.org/­sql
Technical documentationdocs.bigobject.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBigObject, Inc.General Data Technology Co., Ltd.Apache Software Foundation
Initial release201520042014
Current release3.4, August 2019GBase 8a, GBase 8s, GBase 8c3.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, PythonScala
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
Windows infoexperimental
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoStandard with numerous extensionsSQL-like DML and DDL statements
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#Java
Python
R
Scala
Server-side scripts infoStored proceduresLuanouser defined functionsno
Triggersnoyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesnono
User concepts infoAccess controlnonoyesno

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More resources
BigObjectetcdGBaseSpark SQL
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