DBMS > EJDB vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. TimesTen

System Properties Comparison EJDB vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. TimesTen

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Editorial information provided by DB-Engines
Name	EJDB  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	TimesTen  Xexclude from comparison
Description	Embeddable document-store database library with JSON representation of queries (in MongoDB style)	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Fully managed big data interactive analytics platform	In-Memory RDBMS compatible to Oracle
Primary database model	Document store	Time Series DBMS	Relational DBMS column oriented	Relational DBMS
Secondary database models			Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #296   Overall #44   Document stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	github.com/­Softmotions/­ejdb	www.hawkular.org	azure.microsoft.com/­services/­data-explorer	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation	github.com/­Softmotions/­ejdb/­blob/­master/­README.md	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­en-us/­azure/­data-explorer	docs.oracle.com/­database/­timesten-18.1
Developer	Softmotions	Community supported by Red Hat	Microsoft	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2012	2014	2019	1998
Current release			cloud service with continuous releases	11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	Open Source GPLv2	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C	Java
Server operating systems	server-less	Linux OS X Windows	hosted	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	schema-free	schema-free	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date	yes string, integer, double, bool, date, object_id	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.		no	yes	no
Secondary indexes	no	no	all fields are automatically indexed	yes
SQL Support of SQL	no	no	Kusto Query Language (KQL), SQL subset	yes
APIs and other access methods	in-process shared library	HTTP REST	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby	Go Java Python Ruby	.Net Go Java JavaScript (Node.js) PowerShell Python R	C C++ Java PL/SQL
Server-side scripts Stored procedures	no	no	Yes, possible languages: KQL, Python, R	PL/SQL
Triggers	no	yes via Hawkular Alerting	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	none	selectable replication factor based on Cassandra	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no
Consistency concepts Methods to ensure consistency in a distributed system		Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no typically not needed, however similar functionality with collection joins possible	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes Read/Write Locking	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	no	yes
User concepts Access control	no	no	Azure Active Directory Authentication	fine grained access rights according to SQL-standard
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More resources
	EJDB	Hawkular Metrics	Microsoft Azure Data Explorer	TimesTen
Recent citations in the news		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, Microsoft Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, Microsoft Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, Microsoft New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, Microsoft provided by Google News

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