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DBMS > LevelDB vs. openGemini vs. Splice Machine vs. TimesTen vs. UniData,UniVerse

System Properties Comparison LevelDB vs. openGemini vs. Splice Machine vs. TimesTen vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonopenGemini  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to OracleMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitegithub.com/­google/­leveldbwww.opengemini.org
github.com/­openGemini
splicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.opengemini.org/­guidesplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1docs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGoogleHuawei and openGemini communitySplice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Rocket Software
Initial release20112022201419981985
Current release1.23, February 20211.1, July 20233.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJavaC
Server operating systemsIllumos
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoInteger, Float, Boolean, Stringyesyesoptional
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.nonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyesyes
APIs and other access methodsHTTP RESTJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyes infoJavaPL/SQLyes
Triggersnonoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAdministrators and common users accountsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
LevelDBopenGeminiSplice MachineTimesTenUniData,UniVerse
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