Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Apache Iceberg | 89 | — | 0 | 147 | 138 93.9% |
| Iceberg | 25 | — | 0 | 142 | 141 99.3% |
| hidden partitioning | 6 | — | 0 | 7 | 4 57.1% |
| Apache Iceberg™ | 4 | — | 0 | 6 | 5 83.3% |
| Iceberg documentation | 4 | — | 0 | 4 | 4 100% |
| 3 | — | 0 | 53 | 52 98.1% | |
| https://iceberg.apache.org/ | 3 | — | 0 | 3 | 2 66.7% |
| Iceberg table spec | 3 | — | 0 | 3 | 2 66.7% |
| Iceberg Table Spec | 3 | — | 0 | 7 | 7 100% |
| Flink | 2 | — | 0 | 5 | 5 100% |
| Apache Iceberg documentation | 2 | — | 0 | 4 | 4 100% |
| Iceberg community | 2 | — | 0 | 2 | 1 50% |
| https://iceberg.apache.org | 2 | — | 0 | 2 | 2 100% |
| here | 2 | — | 0 | 3 | 3 100% |
| Iceberg table properties | 2 | — | 0 | 2 | 2 100% |
| Iceberg SQL extensions | 1 | — | 0 | 1 | 1 100% |
| Apache Icebeg | 1 | — | 0 | 4 | 4 100% |
| automáticamente | 1 | — | 0 | 1 | 1 100% |
| Iceberg Performance | 1 | — | 0 | 1 | 1 100% |
| https://iceberg.apache.org/docs/latest/ | 1 | — | 0 | 1 | 1 100% |
| Documentação do iceberg | 1 | — | 0 | 1 | 1 100% |
| Iceberg table specification | 1 | — | 0 | 1 | 1 100% |
| Apache Iceberg Documentation | 1 | — | 0 | 1 | 1 100% |
| Iceberg Apache | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| Apache themselves confirm | 1 | — | 0 | 1 | 1 100% |
| Iceberg Glue Catalog documentation | 1 | — | 0 | 1 | 1 100% |
| adds some commands to SparkSQL | 1 | — | 0 | 1 | 1 100% |
| Spark-Abfragen | 1 | — | 0 | 1 | 1 100% |
| Apache Iceberg, | 1 | — | 0 | 1 | 1 100% |
| https://iceberg.apache.org/spec/ | 1 | — | 0 | 8 | 8 100% |
| Apache Iceberg SDK | 1 | — | 0 | 1 | 1 100% |
| Wartung | 1 | — | 0 | 1 | 1 100% |
| row-level deletes | 1 | — | 0 | 2 | 2 100% |
| Write properties | 1 | — | 0 | 1 | 1 100% |
| Hive | 1 | — | 0 | 4 | 4 100% |
| Read more > | 1 | — | 0 | 1 | 1 100% |
| Spark's Iceberg integration | 1 | — | 0 | 1 | 1 100% |
| “Hidden” partitioning | 1 | — | 0 | 1 | 1 100% |
| Spark Iceberg start guide | 1 | — | 0 | 1 | 1 100% |
| SupportsNamespaces API | 1 | — | 0 | 1 | 1 100% |
| 分区发展 | 1 | — | 0 | 1 | 1 100% |
| table properties | 1 | — | 0 | 1 | 1 100% |
| Iceberg tables | 1 | — | 0 | 1 | 1 100% |
| [Apache] Iceberg standards | 1 | — | 0 | 1 | 1 100% |
| https://iceberg.apache.org/docs/1.5.0/branching/#audit-branch | 1 | — | 0 | 2 | 0 0% |
| schema evolution | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| 0.14 release | 1 | — | 0 | 1 | 1 100% |
| tools | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to iceberg.apache.org?
This page shows all anchor texts found in backlinks pointing to iceberg.apache.org, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe iceberg.apache.org.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does iceberg.apache.org have?
The anchor text report for iceberg.apache.org displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.