DBMS > Microsoft Azure Data Explorer vs. SiriDB vs. Sqrrl

System Properties Comparison Microsoft Azure Data Explorer vs. SiriDB vs. Sqrrl

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.

Description

Fully managed big data interactive analytics platform

Open Source Time Series DBMS

Adaptable, secure NoSQL built on Apache Accumulo

Primary database model

Relational DBMS

column oriented

Time Series DBMS

Document store
Graph DBMS
Key-value store
Wide column store

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)
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	4.74
Rank	#74	Overall
	#40	Relational DBMS

Score	0.04
Rank	#316	Overall
	#28	Time Series DBMS

Website

azure.microsoft.com/services/data-explorer

siridb.net

sqrrl.com

Technical documentation

docs.microsoft.com/en-us/azure/data-explorer

docs.siridb.net

Developer

Microsoft

Transceptor Technology

Amazon

originally Sqrrl Data, Inc.

Initial release

2019

2017

2012

Current release

cloud service with continuous releases

License

Commercial or Open Source

commercial

Open Source

MIT License

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

Linux

Data scheme

Fixed schema with schema-less datatypes (dynamic)

yes

schema-free

Typing

predefined data types such as float or date

yes

bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types

yes

Numeric data

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.

yes

Secondary indexes

all fields are automatically indexed

yes

SQL

Support of SQL

Kusto Query Language (KQL), SQL subset

APIs and other access methods

Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API

HTTP API

Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R

C
C++
Go
Python

Actionscript
C

using GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk

Server-side scripts

Stored procedures

Yes, possible languages: KQL, Python, R

Triggers

yes

see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

making use of Hadoop

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

yes

selectable replication factor

making use of Hadoop

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic updates per row, document, or graph entity

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Azure Active Directory Authentication

simple rights management via user accounts

Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

More information provided by the system vendor

Specific characteristics

Azure Data Explorer is a fast and highly scalable data exploration service for log...
» more

Competitive advantages

Kusto Query Language (innovative query language, optimized for high performance data...
» more

Typical application scenarios

IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more

Key customers

Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more

Market metrics

Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

AMD Boosts Microsoft Azure Data Explorer Performance
16 October 2020, SDxCentral

AMD EPYC Processors Power Microsoft Azure Data Explorer, Offers Users 30 Percent Better Performance
15 October 2020, HPCwire

AMD releases Azure Data Explorer PaaS solution
19 October 2020, IT Brief Australia

Azure Data Explorer gets Synapse integration and other enhancements
15 October 2020, EnterpriseTalk

provided by Google News

Transceptor Technology Open Sources the Time Series Database SiriDB
1 February 2017, PR Newswire

provided by Google News

User and Entity Behavior Analytics Market 2021-2025 | Growth Analysis by Key Players – Splunk, Securonix, Varonis, Bay Dynamics, Exabeam, Gurucul, Niara, Sqrrl Data, Dtex Systems, Rapid7 – NeighborWebSJ
19 February 2021, NeighborWebSJ

Artificial Intelligence in Security Market 2021 by Technology Advancement and Business Outlook – IBM Corporation, Cisco Systems Inc, etc – KSU | The Sentinel Newspaper
11 February 2021, KSU | The Sentinel Newspaper

User And Entity Behavior Analytics Market Dynamics, Forecast, Global Analysis of Players – Bottomline Technologies?Inc, Niara Inc, Varonis Systems, Sqrrl Data?Inc, Bay Dynamics, Exabeam, Rapid7, Splunk Inc., Securonix, Observe IT, Dtex Systems, Gurucul
22 February 2021, NY Market Reports

New Research on User And Entity Behavior Analytics Market Report Examines Business Opportunity and Worldwide Scope – NeighborWebSJ
23 February 2021, NeighborWebSJ

User and Entity Behavior Analytics Market 2020 Analysis Report, Share, Trends, Overview 2021-2027 – SoccerNurds
24 February 2021, SoccerNurds

provided by Google News

Job opportunities

Content Writer and Developer
Lenora Systems Inc, Redmond, WA

Risk & Compliance Program Manger
Microsoft, Redmond, WA

Azure Data Engineer / Architect ( SQL and Power BI)
VTeam Labs, Seattle, WA

Data Engineer
C2S Technologies, Remote

Data Engineer - Minecraft
Microsoft, Redmond, WA

Security Operations and Incident Response Deputy Lead
ShorePoint, Bethesda, MD

Security Operations and Incident Response Deputy Lead
ShorePoint, Washington, DC

Mid Level Security Engineer
XOR Security, Falls Church, VA

jobs by

Share this page