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DBMS > AlaSQL vs. Apache IoTDB vs. Kyligence Enterprise vs. Splice Machine vs. Titan

System Properties Comparison AlaSQL vs. Apache IoTDB vs. Kyligence Enterprise vs. Splice Machine vs. Titan

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSplice Machine  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.
DescriptionJavaScript DBMS libraryAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA distributed analytics engine for big data, built on top of Apache KylinOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealasql.orgiotdb.apache.orgkyligence.io/­kyligence-enterprisesplicemachine.comgithub.com/­thinkaurelius/­titan
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlsplicemachine.com/­how-it-worksgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationKyligence, Inc.Splice MachineAurelius, owned by DataStax
Initial release20142018201620142012
Current release1.1.0, April 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache license, version 2.0
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 languageJavaScriptJavaJavaJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)LinuxLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageANSI SQL for queries (using Apache Calcite)yesno
APIs and other access methodsJavaScript APIJDBC
Native API
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesyes infoJavayes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shared Nothhing Auto-Sharding, Columnar Partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparkyesYes, via Full Spark Integrationyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes 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.yesyesnoyes
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardUser authentification and security via Rexster Graph Server

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AlaSQLApache IoTDBKyligence EnterpriseSplice MachineTitan
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