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DBMS > Sqrrl vs. TimescaleDB vs. Warp 10 vs. XTDB

System Properties Comparison Sqrrl vs. TimescaleDB vs. Warp 10 vs. XTDB

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Editorial information provided by DB-Engines
NameSqrrl  Xexclude from comparisonTimescaleDB  Xexclude from comparisonWarp 10  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAdaptable, secure NoSQL built on Apache AccumuloA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitesqrrl.comwww.timescale.comwww.warp10.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.timescale.comwww.warp10.io/­content/­02_Getting_startedwww.xtdb.com/­docs
DeveloperAmazon infooriginally Sqrrl Data, Inc.TimescaleSenXJuxt Ltd.
Initial release2012201720152019
Current release2.15.0, May 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoMIT License
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 languageJavaCJavaClojure
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes, extensible-data-notation format
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.yesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infofull PostgreSQL SQL syntaxnolimited SQL, making use of Apache Calcite
APIs and other access methodsAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Jupyter
WebSocket
HTTP REST
JDBC
Supported programming languagesActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes infoWarpScriptno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomaking use of Hadoopyes, across time and space (hash partitioning) attributesSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infomaking use of HadoopSource-replica replication with hot standby and reads on replicas infoselectable replication factor infobased on HBaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic updates per row, document, or graph entityACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
SqrrlTimescaleDBWarp 10XTDB infoformerly named Crux
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