AI Index / AI tools for data analysts / History

AI tools for data analysts — AI Recommendation History

What AI assistants recommended for ai tools for data analysts, date by date. Every ranking we publish is frozen the day it publishes, so this is a record of what was said — not a re-computation of what today's data would say about the past.

Record: 26 dated snapshots · Aug 14, 2026 – Sep 8, 2026

Answer archive Methodology Data studies JSON

What changed

Computed by comparing each dated snapshot with the one before it. Share moves smaller than 1pp are treated as noise and left out — the same threshold that suppresses trend arrows on the ranking.

Sep 8, 2026vs Sep 7, 2026

Methodology change: extraction rules 5-7 → 7 between these dates. Differences below may reflect the rule change rather than a change in what AI recommends — see the methodology changelog.

▲ INSnowflake entered the top 10 (#11 → #10)
▼ OUTBigQuery left the top 10 (#10 → #14)
▼BigQuery moved #10 → #14
▲Looker moved #9 → #6
▼Julius moved #5 → #8
▼Hex moved #7 → #9
▲Excel moved #6 → #5
▲ThoughtSpot moved #8 → #7
▲Snowflake moved #11 → #10
▼Julius -8.5pp (37.1% → 28.6%)
▼BigQuery -7.8pp (25.7% → 17.9%)
▼Tableau -3.6pp (42.9% → 39.3%)
▼Python -3.5pp (57.1% → 53.6%)
▼Microsoft -2.8pp (45.7% → 42.9%)
▼Looker -2.8pp (31.4% → 28.6%)
▼ThoughtSpot -2.8pp (31.4% → 28.6%)
▼Hex -2.8pp (31.4% → 28.6%)
▼Excel -2.2pp (34.3% → 32.1%)
▼Power BI -1.4pp (51.4% → 50%)

Sep 7, 2026vs Sep 6, 2026

▲ INLooker entered the top 10 (#11 → #9)
▲ INBigQuery entered the top 10 (#12 → #10)
▼ OUTDatabricks left the top 10 (#8 → #13)
▼ OUTSnowflake left the top 10 (#10 → #11)
▼Databricks moved #8 → #13
▲Looker moved #11 → #9
▲BigQuery moved #12 → #10
▲Julius moved #6 → #5
▼Excel moved #5 → #6
▲ThoughtSpot moved #9 → #8
▼Snowflake moved #10 → #11
▼Excel -5.4pp (39.7% → 34.3%)
▼Python -4.8pp (61.9% → 57.1%)
▼Databricks -4.5pp (30.2% → 25.7%)
▲Looker +4.4pp (27% → 31.4%)
▲Power BI +3.8pp (47.6% → 51.4%)
▼Snowflake -2.9pp (28.6% → 25.7%)
▲Microsoft +2.8pp (42.9% → 45.7%)
▲BigQuery +1.9pp (23.8% → 25.7%)
▲Tableau +1.6pp (41.3% → 42.9%)
▲Hex +1.2pp (30.2% → 31.4%)
▲ThoughtSpot +1.2pp (30.2% → 31.4%)

Sep 6, 2026vs Sep 5, 2026

No change above the noise floor.

Sep 5, 2026vs Sep 4, 2026

No change above the noise floor.

Sep 4, 2026vs Sep 3, 2026

No change above the noise floor.

Sep 3, 2026vs Sep 2, 2026

No change above the noise floor.

Sep 2, 2026vs Sep 1, 2026

No change above the noise floor.

Sep 1, 2026vs Aug 31, 2026

No change above the noise floor.

Aug 31, 2026vs Aug 30, 2026

No change above the noise floor.

Aug 30, 2026vs Aug 29, 2026

▲Hex moved #9 → #7
▼Databricks moved #7 → #8
▼ThoughtSpot moved #8 → #9
▼Databricks -3.7pp (33.9% → 30.2%)
▼Microsoft -3.5pp (46.4% → 42.9%)
▼Tableau -3.3pp (44.6% → 41.3%)
▼Excel -3.2pp (42.9% → 39.7%)
▼Power BI -2.4pp (50% → 47.6%)
▼ThoughtSpot -1.9pp (32.1% → 30.2%)
▲Python +1.2pp (60.7% → 61.9%)
▼Julius -1pp (37.5% → 36.5%)

Aug 29, 2026vs Aug 28, 2026

Methodology change: extraction rules 5 → 5-7 between these dates. Differences below may reflect the rule change rather than a change in what AI recommends — see the methodology changelog.

▲Microsoft moved #6 → #3
▼Excel moved #2 → #5
▼Julius moved #4 → #6
▲ThoughtSpot moved #10 → #8
▼Snowflake moved #8 → #10
▲Power BI moved #3 → #2
▲Tableau moved #5 → #4
▼Python -7.9pp (68.6% → 60.7%)
▼Julius -5.4pp (42.9% → 37.5%)
▲Power BI +4.3pp (45.7% → 50%)
▲Microsoft +3.5pp (42.9% → 46.4%)
▼Databricks -3.2pp (37.1% → 33.9%)
▼Excel -2.8pp (45.7% → 42.9%)
▼Snowflake -2.8pp (31.4% → 28.6%)
▲Tableau +1.7pp (42.9% → 44.6%)
▼Hex -1pp (31.4% → 30.4%)

Aug 28, 2026vs Aug 27, 2026

Methodology change: extraction rules 4-5 → 5 between these dates. Differences below may reflect the rule change rather than a change in what AI recommends — see the methodology changelog.

▲Excel moved #6 → #2
▼ThoughtSpot moved #7 → #10
▼Julius moved #2 → #4
▲Databricks moved #9 → #7
▲Snowflake moved #10 → #8
▼Tableau moved #4 → #5
▼Microsoft moved #5 → #6
▼Hex moved #8 → #9
▼ThoughtSpot -6.7pp (38.1% → 31.4%)
▲Excel +5.2pp (40.5% → 45.7%)
▼Julius -4.7pp (47.6% → 42.9%)
▲Python +4.3pp (64.3% → 68.6%)
▼Hex -4.3pp (35.7% → 31.4%)
▲Snowflake +2.8pp (28.6% → 31.4%)
▼Tableau -2.3pp (45.2% → 42.9%)
▼Power BI -1.9pp (47.6% → 45.7%)
▲Databricks +1.4pp (35.7% → 37.1%)

Aug 27, 2026vs Aug 26, 2026

▲ INSnowflake entered the top 10 (#11 → #10)
▼ OUTBigQuery left the top 10 (#10 → #11)
▲Microsoft moved #9 → #5
▲Julius moved #5 → #2
▼Excel moved #4 → #6
▼Power BI moved #2 → #3
▼Tableau moved #3 → #4
▼ThoughtSpot moved #6 → #7
▼Hex moved #7 → #8
▼Databricks moved #8 → #9
▲Snowflake moved #11 → #10
▼BigQuery moved #10 → #11
▲Microsoft +12.7pp (30.2% → 42.9%)
▼Power BI -6.4pp (54% → 47.6%)
▼Excel -5.5pp (46% → 40.5%)
▼ThoughtSpot -3.2pp (41.3% → 38.1%)
▲Snowflake +3.2pp (25.4% → 28.6%)
▼Tableau -2.4pp (47.6% → 45.2%)
▲Databricks +2.4pp (33.3% → 35.7%)
▲Julius +1.6pp (46% → 47.6%)
▼BigQuery -1.6pp (30.2% → 28.6%)

Aug 26, 2026vs Aug 25, 2026

No change above the noise floor.

Aug 25, 2026vs Aug 24, 2026

No change above the noise floor.

Aug 24, 2026vs Aug 23, 2026

▲ INMicrosoft entered the top 10 (#12 → #9)
▼ OUTLooker left the top 10 (#9 → #12)
▲Microsoft moved #12 → #9
▼Looker moved #9 → #12
▲Tableau moved #4 → #3
▼Excel moved #3 → #4
▲Hex moved #8 → #7
▼Databricks moved #7 → #8
▼Looker -4.5pp (29.9% → 25.4%)
▲Microsoft +4.2pp (26% → 30.2%)
▲Hex +3.7pp (31.2% → 34.9%)
▲Python +2.8pp (62.3% → 65.1%)
▼Excel -2.1pp (48.1% → 46%)
▲BigQuery +1.6pp (28.6% → 30.2%)

Aug 23, 2026vs Aug 22, 2026

No change above the noise floor.

Aug 22, 2026vs Aug 21, 2026

▲ INBigQuery entered the top 10 (#11 → #10)
▼ OUTQuerio left the top 10 (#10 → #11)
▲Excel moved #5 → #3
▼Julius moved #3 → #5
▲BigQuery moved #11 → #10
▼Querio moved #10 → #11
▲Python +2.8pp (59.5% → 62.3%)
▲Excel +1.7pp (46.4% → 48.1%)
▲Looker +1.3pp (28.6% → 29.9%)
▲BigQuery +1.2pp (27.4% → 28.6%)

Aug 21, 2026vs Aug 20, 2026

No change above the noise floor.

Aug 20, 2026vs Aug 19, 2026

▼Querio moved #7 → #10
▲Hex moved #10 → #8
▲Julius moved #4 → #3
▼Tableau moved #3 → #4
▲Databricks moved #8 → #7
▼Querio -4.2pp (31.6% → 27.4%)
▲Excel +2.5pp (43.9% → 46.4%)
▲Databricks +1.7pp (31.6% → 33.3%)
▲Hex +1.4pp (29.6% → 31%)
▲Python +1.3pp (58.2% → 59.5%)
▼Looker -1pp (29.6% → 28.6%)

Aug 19, 2026vs Aug 18, 2026

No change above the noise floor.

Aug 18, 2026vs Aug 17, 2026

No change above the noise floor.

Aug 17, 2026vs Aug 16, 2026

No change above the noise floor.

Aug 16, 2026vs Aug 15, 2026

No change above the noise floor.

Aug 15, 2026vs Aug 14, 2026

No change above the noise floor.

The ranking, date by date

Top 10 on each archived date, exactly as published. Cite a date and it stays true: snapshots are append-only, and a correction appends a new revision rather than overwriting the original.

Sep 8, 202628 sampled answers · window 2026-08-11 – 2026-09-08 · rules v7

#1Python53.6%
#2Power BI50%
#3Microsoft42.9%
#4Tableau39.3%
#5Excel32.1%
#6Looker28.6%
#7ThoughtSpot28.6%
#8Julius28.6%
#9Hex28.6%
#10Snowflake25%

Sep 7, 202635 sampled answers · window 2026-08-10 – 2026-09-07 · rules v5-7

#1Python57.1%
#2Power BI51.4%
#3Microsoft45.7%
#4Tableau42.9%
#5Julius37.1%
#6Excel34.3%
#7Hex31.4%
#8ThoughtSpot31.4%
#9Looker31.4%
#10BigQuery25.7%

Sep 6, 202663 sampled answers · window 2026-08-09 – 2026-09-06 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Sep 5, 202663 sampled answers · window 2026-08-08 – 2026-09-05 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Sep 4, 202663 sampled answers · window 2026-08-07 – 2026-09-04 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Sep 3, 202663 sampled answers · window 2026-08-06 – 2026-09-03 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Sep 2, 202663 sampled answers · window 2026-08-05 – 2026-09-02 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Sep 1, 202663 sampled answers · window 2026-08-04 – 2026-09-01 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Aug 31, 202663 sampled answers · window 2026-08-03 – 2026-08-31 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Aug 30, 202663 sampled answers · window 2026-08-02 – 2026-08-30 · rules v5-7

#1Python61.9%
#2Power BI47.6%
#3Microsoft42.9%
#4Tableau41.3%
#5Excel39.7%
#6Julius36.5%
#7Hex30.2%
#8Databricks30.2%
#9ThoughtSpot30.2%
#10Snowflake28.6%

Aug 29, 202656 sampled answers · window 2026-08-01 – 2026-08-29 · rules v5-7

#1Python60.7%
#2Power BI50%
#3Microsoft46.4%
#4Tableau44.6%
#5Excel42.9%
#6Julius37.5%
#7Databricks33.9%
#8ThoughtSpot32.1%
#9Hex30.4%
#10Snowflake28.6%

Aug 28, 202635 sampled answers · window 2026-07-31 – 2026-08-28 · rules v5

#1Python68.6%
#2Excel45.7%
#3Power BI45.7%
#4Julius42.9%
#5Tableau42.9%
#6Microsoft42.9%
#7Databricks37.1%
#8Snowflake31.4%
#9Hex31.4%
#10ThoughtSpot31.4%

Aug 27, 202642 sampled answers · window 2026-07-30 – 2026-08-27 · rules v4-5

#1Python64.3%
#2Julius47.6%
#3Power BI47.6%
#4Tableau45.2%
#5Microsoft42.9%
#6Excel40.5%
#7ThoughtSpot38.1%
#8Hex35.7%
#9Databricks35.7%
#10Snowflake28.6%

Aug 26, 202663 sampled answers · window 2026-07-29 – 2026-08-26 · rules v4-5

#1Python65.1%
#2Power BI54%
#3Tableau47.6%
#4Excel46%
#5Julius46%
#6ThoughtSpot41.3%
#7Hex34.9%
#8Databricks33.3%
#9Microsoft30.2%
#10BigQuery30.2%

Aug 25, 202663 sampled answers · window 2026-07-28 – 2026-08-25 · rules v4-5

#1Python65.1%
#2Power BI54%
#3Tableau47.6%
#4Excel46%
#5Julius46%
#6ThoughtSpot41.3%
#7Hex34.9%
#8Databricks33.3%
#9Microsoft30.2%
#10BigQuery30.2%

Aug 24, 202663 sampled answers · window 2026-07-27 – 2026-08-24 · rules v4-5

#1Python65.1%
#2Power BI54%
#3Tableau47.6%
#4Excel46%
#5Julius46%
#6ThoughtSpot41.3%
#7Hex34.9%
#8Databricks33.3%
#9Microsoft30.2%
#10BigQuery30.2%

Aug 23, 202677 sampled answers · window 2026-07-26 – 2026-08-23 · rules v4-5

#1Python62.3%
#2Power BI53.2%
#3Excel48.1%
#4Tableau48.1%
#5Julius46.8%
#6ThoughtSpot41.6%
#7Databricks33.8%
#8Hex31.2%
#9Looker29.9%
#10BigQuery28.6%

Aug 22, 202677 sampled answers · window 2026-07-25 – 2026-08-22 · rules v4-5

#1Python62.3%
#2Power BI53.2%
#3Excel48.1%
#4Tableau48.1%
#5Julius46.8%
#6ThoughtSpot41.6%
#7Databricks33.8%
#8Hex31.2%
#9Looker29.9%
#10BigQuery28.6%

Aug 21, 202684 sampled answers · window 2026-07-24 – 2026-08-21 · rules v4-5

#1Python59.5%
#2Power BI52.4%
#3Julius47.6%
#4Tableau47.6%
#5Excel46.4%
#6ThoughtSpot41.7%
#7Databricks33.3%
#8Hex31%
#9Looker28.6%
#10Querio27.4%

Aug 20, 202684 sampled answers · window 2026-07-23 – 2026-08-20 · rules v4-5

#1Python59.5%
#2Power BI52.4%
#3Julius47.6%
#4Tableau47.6%
#5Excel46.4%
#6ThoughtSpot41.7%
#7Databricks33.3%
#8Hex31%
#9Looker28.6%
#10Querio27.4%

Aug 19, 202698 sampled answers · window 2026-07-22 – 2026-08-19 · rules v4-5

#1Python58.2%
#2Power BI53.1%
#3Tableau48%
#4Julius46.9%
#5Excel43.9%
#6ThoughtSpot41.8%
#7Querio31.6%
#8Databricks31.6%
#9Looker29.6%
#10Hex29.6%

Aug 18, 202698 sampled answers · window 2026-07-21 – 2026-08-18 · rules v4-5

#1Python58.2%
#2Power BI53.1%
#3Tableau48%
#4Julius46.9%
#5Excel43.9%
#6ThoughtSpot41.8%
#7Querio31.6%
#8Databricks31.6%
#9Looker29.6%
#10Hex29.6%

Aug 17, 202698 sampled answers · window 2026-07-20 – 2026-08-17 · rules v4-5

#1Python58.2%
#2Power BI53.1%
#3Tableau48%
#4Julius46.9%
#5Excel43.9%
#6ThoughtSpot41.8%
#7Querio31.6%
#8Databricks31.6%
#9Looker29.6%
#10Hex29.6%

Aug 16, 202698 sampled answers · window 2026-07-19 – 2026-08-16 · rules v4-5

#1Python58.2%
#2Power BI53.1%
#3Tableau48%
#4Julius46.9%
#5Excel43.9%
#6ThoughtSpot41.8%
#7Querio31.6%
#8Databricks31.6%
#9Looker29.6%
#10Hex29.6%

Aug 15, 202698 sampled answers · window 2026-07-18 – 2026-08-15 · rules v4-5

#1Python58.2%
#2Power BI53.1%
#3Tableau48%
#4Julius46.9%
#5Excel43.9%
#6ThoughtSpot41.8%
#7Querio31.6%
#8Databricks31.6%
#9Looker29.6%
#10Hex29.6%

Aug 14, 202698 sampled answers · window 2026-07-17 – 2026-08-14 · rules v4-5

#1Python58.2%
#2Power BI53.1%
#3Tableau48%
#4Julius46.9%
#5Excel43.9%
#6ThoughtSpot41.8%
#7Querio31.6%
#8Databricks31.6%
#9Looker29.6%
#10Hex29.6%

Read any date directly

Every archived date is machine-readable at /api/index/ai-tools-for-data-analysts/as-of/<YYYY-MM-DD>, which returns the ranking as it stood, with the extraction version and revision it was published under. Dates before the record begins return no_record rather than a recomputation — we do not reconstruct history on demand and present it as what we said. See what the engines actually said.

[ORBATOR]