<commit_before>[[release-highlights-6.3.0]]
== 6.3.0 release highlights
++++
<titleabbrev>6.3.0</titleabbrev>
++++

Here are the highlights of features that were added in {es} 6.3.0.

Refer to the <<release-notes-6.3.0,{es} 6.3.0 release notes>> for the full list
of changes in this release.

NOTE: We want your feedback on the experimental features in this release! Let
us know what you’d like to see next and any problems you encounter.

[float]
=== SQL
This experimental feature enables users who are familiar with SQL to
use SQL statements to query {es} indices. In addition to querying
through the SQL API, you can use the Translate API to see how SQL queries
are translated to native Elasticsearch queries.

The included SQL CLI provides a simple way to submit SQL queries to {es}.
Similarly, the {es} JDBC driver enables you to connect your favorite
JDBC-compatible tool to {es}.

For more information, see <<xpack-sql, SQL Access>>.

[float]
=== Rollups
This experimental feature enables you to summarize and store historical data
so that is still available for analysis, but consumes significantly less
storage space. This is particularly useful when you're working with monitoring
and metrics data where it's not feasible to retain the raw data indefinitely.

When you ask {es} to store a rollup of data, it also stores the underlying
statistics. For example, if you roll up an average, the sum and count are also
stored so that the average can be recomputed at query time. This enables you to
query both rolled up data and “live” data simultaneously using the standard
query DSL.

For more information, see <<xpack-rollup, Rolling up historical data>>.

[float]
=== Java 10 Support
Java 9 was a short-term release that reached EOL in March 2018. 6.3.0 introduces
support for Java 10, which is scheduled to reach EOL in September 2018.

If you are not comfortable with the rapid release cycle of Java short term
versions (and EOL dates), you can continue to use Java 8. See the
https://www.elastic.co/support/matrix#matrix_jvm[support matrix]
for all of the JVM options for {es}.

[float]
=== Improved trend modeling and periodicity testing for forecasting

{stack-ov}/ml-overview.html#ml-forecasting[Forecasting] is now more reliable and
has greatly improved confidence intervals--particularly for longer time ranges.
These improvements also affect trend and seasonality modeling during anomaly
detection.<commit_msg>[DOCS] Removes ML item from release highlights<commit_after>[[release-highlights-6.3.0]]
== 6.3.0 release highlights
++++
<titleabbrev>6.3.0</titleabbrev>
++++

Here are the highlights of features that were added in {es} 6.3.0.

Refer to the <<release-notes-6.3.0,{es} 6.3.0 release notes>> for the full list
of changes in this release.

NOTE: We want your feedback on the experimental features in this release! Let
us know what you’d like to see next and any problems you encounter.

[float]
=== SQL
This experimental feature enables users who are familiar with SQL to
use SQL statements to query {es} indices. In addition to querying
through the SQL API, you can use the Translate API to see how SQL queries
are translated to native Elasticsearch queries.

The included SQL CLI provides a simple way to submit SQL queries to {es}.
Similarly, the {es} JDBC driver enables you to connect your favorite
JDBC-compatible tool to {es}.

For more information, see <<xpack-sql, SQL Access>>.

[float]
=== Rollups
This experimental feature enables you to summarize and store historical data
so that is still available for analysis, but consumes significantly less
storage space. This is particularly useful when you're working with monitoring
and metrics data where it's not feasible to retain the raw data indefinitely.

When you ask {es} to store a rollup of data, it also stores the underlying
statistics. For example, if you roll up an average, the sum and count are also
stored so that the average can be recomputed at query time. This enables you to
query both rolled up data and “live” data simultaneously using the standard
query DSL.

For more information, see <<xpack-rollup, Rolling up historical data>>.

[float]
=== Java 10 Support
Java 9 was a short-term release that reached EOL in March 2018. 6.3.0 introduces
support for Java 10, which is scheduled to reach EOL in September 2018.

If you are not comfortable with the rapid release cycle of Java short term
versions (and EOL dates), you can continue to use Java 8. See the
https://www.elastic.co/support/matrix#matrix_jvm[support matrix]
for all of the JVM options for {es}.

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