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DBMS > Apache Drill vs. openGemini vs. OpenTSDB vs. Spark SQL

System Properties Comparison Apache Drill vs. openGemini vs. OpenTSDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonopenGemini  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityScalable Time Series DBMS based on HBaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Time Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedrill.apache.orgwww.opengemini.org
github.com/­openGemini
opentsdb.netspark.apache.org/­sql
Technical documentationdrill.apache.org/­docsdocs.opengemini.org/­guideopentsdb.net/­docs/­build/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationHuawei and openGemini communitycurrently maintained by Yahoo and other contributorsApache Software Foundation
Initial release2012202220112014
Current release1.20.3, January 20231.1, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoLGPLOpen 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 languageGoJavaScala
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringnumeric data for metrics, strings for tagsyes
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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTHTTP API
Telnet API
JDBC
ODBC
Supported programming languagesC++C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Erlang
Go
Java
Python
R
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourceAdministrators and common users accountsnono

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More resources
Apache DrillopenGeminiOpenTSDBSpark SQL
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