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DBMS > eXtremeDB vs. QuestDB vs. Titan vs. ToroDB

System Properties Comparison eXtremeDB vs. QuestDB vs. Titan vs. ToroDB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTitan  Xexclude from comparisonToroDB  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA high performance open source SQL database for time series dataTitan is a Graph DBMS optimized for distributed clusters.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSGraph DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.mcobject.comquestdb.iogithub.com/­thinkaurelius/­titangithub.com/­torodb/­server
Technical documentationwww.mcobject.com/­docs/­extremedb.htmquestdb.io/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMcObjectQuestDB Technology IncAurelius, owned by DataStax8Kdata
Initial release2001201420122016
Current release8.2, 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache license, version 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java (Zero-GC), C++, RustJavaJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Unix
Windows
All OS with a Java 7 VM
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.no infosupport of XML interfaces availablenono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL with time-series extensionsno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyes infoby defining eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardinghorizontal partitioning (by timestamps)yes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication with eventual consistencyyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights for users and roles
More information provided by the system vendor
eXtremeDBQuestDBTitanToroDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
eXtremeDBQuestDBTitanToroDB
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