Arcadia Data certifies the following component categories:
We integrated and certified the current version of Arcadia Enterprise to work with the following partners and their products. You must upgrade CDH, HDP, or MapR to the supported version before upgrading Arcadia Enterprise to the current release.
When using Cloudera Manager for installation, we certify CDH 5.12, 5.13, 5.14, 5.15, 6.0, and 6.1 on Red Hat 6.x and Red Hat 7.x, and on CentOS 6.x and 7.x.
When using Ambari Stacks installation for Hortonworks, we certify HDP 2.5 and HDP 2.6 on Red Hat 6.x and Red Hat 7.x, and on CentOS 6.x and 7.x.
We certify HDP 3.1 for Red Hat 7.x and CentOS 7.x only.
We certified Arcadia Enterprise install with Arcadia Install Script for MapR 6.0 with MEP 5.0.
We certify Arcadia Enterprise to use BlueData DataTap Support on Cloudera.
We certify EMR 5.20.0 on AWS installations.
Arcadia Enterprise supports the following connections:
We certify Arcadia Enterprise with the following metadata servers:
This option does not support multi-process ArcViz.
We certify Arcadia Instant with SQLite MetaStore.
Supports multi-process ArcViz in CDH, with 3 processes by default.
Supports multi-process ArcViz in CDH, with 3 processes by default.
Supports multi-process ArcViz in CDH, with 3 processes by default.
We certify Arcadia Enterprise on these data storage solutions:
Starting with Release 4.5.0.0, Arcadia Enterprise can read ORC file format. Note that we do not support writing to ORC files. See ORC File Format.
Arcadia Engine reads the following data types from the ORC
files: BOOLEAN
, TINYINT
, SMALLINT
,
INT
, BIGINT
, FLOAT
,
DOUBLE
, STRING
, VARCHAR
,
CHAR
, TIMESTAMP
, DECIMAL
, and
DATE
. Note that at load time, Arcadia Engine converts
DATE
columns into STRING
columns.
Also, note that ArcEngine does not support complex data types in ORC format. See ORC Data Types.
Supports same file formats and analytical views as HDFS and Microsoft Azure Data Lake Store (ADLS).
Supports same file formats as HDFS and Amazon S3.
Starting with Release 4.2.0.0, Arcadia Enterprise can write to ADLS.
See the following information: Microsoft Azure Data Lake Store (ADLS).
Starting with Release 4.2.0.0, Arcadia Enterprise can perform the following operations on Kudu tables:
INSERT
, UPDATE
, DELETE
, and
UPSERT
.
To access Kudu tables on Hive connections, if you need to bypass Sentry authorization, see our instructions in Authorization with Sentry.
See the following information: Apache Kudu.
In addition to desktop use, you may access Arcadia Data (in View mode only) from many mobile devices.
This allows you to provide access to insightful information at a summary level, and quickly informs the user if there is an issue that needs deeper investigation.
We certified the following devices to display visuals and dashboards:
While you cannot manipulate datasets, or edit visuals and dashboards, you can access all existing visuals for which you have view permissions in View mode, and use existing filters and drill-downs. The URL address syntax is of the following type:
[ip_address]/arc/apps/app/[app_id]
Here is an example of a Chord visual SF CabRides Analysis on an Android smartphone.
We recommend that dashboards designed for mobile viewing be simple and intuitive, and minimize the need for scrolling. The visuals should use a small number of dimensions so as not to clutter a small screen, and filters should be minimal.
We certify Arcadia Enterprise to run on the latest versions Chrome, IE, and Microsoft Edge browsers.