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DBMS > LevelDB vs. QuestDB vs. SingleStore vs. TimesTen

System Properties Comparison LevelDB vs. QuestDB vs. SingleStore vs. TimesTen

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high performance open source SQL database for time series dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitegithub.com/­google/­leveldbquestdb.iowww.singlestore.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdquestdb.io/­docsdocs.singlestore.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGoogleQuestDB Technology IncSingleStore Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2011201420131998
Current release1.23, February 20218.5, January 2024Release 22.1
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java (Zero-GC), C++, RustC++, Go
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Windows
Linux info64 bit version requiredIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnoSQL with time-series extensionsyes infobut no triggers and foreign keysyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonoyesPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)Sharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with eventual consistencySource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyesyes
User concepts infoAccess controlnoFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
LevelDBQuestDBSingleStore infoformer name was MemSQLTimesTen
News

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10 September 2024

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4 September 2024

Building a new vector based storage model
22 August 2024

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16 August 2024

Write Time: a call for community writers
13 August 2024

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More resources
LevelDBQuestDBSingleStore infoformer name was MemSQLTimesTen
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9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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