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DBMS > BoltDB vs. eXtremeDB vs. TimescaleDB vs. Titan

System Properties Comparison BoltDB vs. eXtremeDB vs. TimescaleDB vs. Titan

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTitan  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.
DescriptionAn embedded key-value store for Go.Natively in-memory DBMS with options for persistency, high-availability and clusteringA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Time Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.mcobject.comwww.timescale.comgithub.com/­thinkaurelius/­titan
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.timescale.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMcObjectTimescaleAurelius, owned by DataStax
Initial release2013200120172012
Current release8.2, 20212.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoApache license, version 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 and C++CJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nono infosupport of XML interfaces availableyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyes infofull PostgreSQL SQL syntaxno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersnoyes infoby defining eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingyes, across time and space (hash partitioning) attributesyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ 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 hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server
More information provided by the system vendor
BoltDBeXtremeDBTimescaleDBTitan
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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BoltDBeXtremeDBTimescaleDBTitan
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