Enterprise Search — Technology data 2026 | Stack Overflow Developer Survey

Developer Survey 2026

Question

Which enterprise search platforms have you used for work in the past year? Which would you like to use next year? Which have you used in your agentic workflows?

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v2026.1

Data

	Respondents	Percent
Elastic / Elasticsearch / Elastic Enterprise Search	1,007	36.7%
Microsoft Search	613	22.3%
OpenSearch	478	17.4%
Google Cloud Search / Vertex AI Search	452	16.5%
Azure AI Search / Azure Cognitive Search	317	11.5%
Apache Solr	227	8.3%
MongoDB Atlas Search	218	7.9%
Glean	184	6.7%
Algolia	173	6.3%
Other	143	5.2%
ServiceNow AI Search	95	3.5%
IBM Watson Discovery	81	2.9%
Amazon Kendra	78	2.8%
Lucidworks	75	2.7%
Salesforce Einstein Search	75	2.7%
Coveo	43	1.6%
Sinequa	37	1.3%
SearchStax	35	1.3%
Yext	28	1.0%

Use this data

Citation

Response data is released under the ODbL 1.0, which asks that you attribute it.

Stack Exchange Inc. (2026). “Enterprise Search”. Stack Overflow Developer Survey 2026. Licensed under ODbL 1.0. https://survey.stackoverflow.co/2026/technology/data/ent-search

JSON

Structured for code, with the question, the year and the source url alongside the numbers.

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      "response": "Microsoft Search",
      "count": 613,
      "pct": 0.223
    },
    {
      "response": "OpenSearch",
      "count": 478,
      "pct": 0.174
    },
    {
      "response": "Google Cloud Search / Vertex AI Search",
      "count": 452,
      "pct": 0.165
    },
    {
      "response": "Azure AI Search / Azure Cognitive Search",
      "count": 317,
      "pct": 0.115
    },
    {
      "response": "Apache Solr",
      "count": 227,
      "pct": 0.083
    },
    {
      "response": "MongoDB Atlas Search",
      "count": 218,
      "pct": 0.079
    },
    {
      "response": "Glean",
      "count": 184,
      "pct": 0.067
    },
    {
      "response": "Algolia",
      "count": 173,
      "pct": 0.063
    },
    {
      "response": "Other",
      "count": 143,
      "pct": 0.052
    },
    {
      "response": "ServiceNow AI Search",
      "count": 95,
      "pct": 0.035
    },
    {
      "response": "IBM Watson Discovery",
      "count": 81,
      "pct": 0.029
    },
    {
      "response": "Amazon Kendra",
      "count": 78,
      "pct": 0.028
    },
    {
      "response": "Lucidworks",
      "count": 75,
      "pct": 0.027
    },
    {
      "response": "Salesforce Einstein Search",
      "count": 75,
      "pct": 0.027
    },
    {
      "response": "Coveo",
      "count": 43,
      "pct": 0.016
    },
    {
      "response": "Sinequa",
      "count": 37,
      "pct": 0.013
    },
    {
      "response": "SearchStax",
      "count": 35,
      "pct": 0.013
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      "count": 28,
      "pct": 0.01
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Markdown

A formatted table, ready to paste into a document, an issue or a prompt.

|  | Respondents | Percent |
| --- | ---: | ---: |
| Elastic / Elasticsearch / Elastic Enterprise Search | 1,007 | 36.7% |
| Microsoft Search | 613 | 22.3% |
| OpenSearch | 478 | 17.4% |
| Google Cloud Search / Vertex AI Search | 452 | 16.5% |
| Azure AI Search / Azure Cognitive Search | 317 | 11.5% |
| Apache Solr | 227 | 8.3% |
| MongoDB Atlas Search | 218 | 7.9% |
| Glean | 184 | 6.7% |
| Algolia | 173 | 6.3% |
| Other | 143 | 5.2% |
| ServiceNow AI Search | 95 | 3.5% |
| IBM Watson Discovery | 81 | 2.9% |
| Amazon Kendra | 78 | 2.8% |
| Lucidworks | 75 | 2.7% |
| Salesforce Einstein Search | 75 | 2.7% |
| Coveo | 43 | 1.6% |
| Sinequa | 37 | 1.3% |
| SearchStax | 35 | 1.3% |
| Yext | 28 | 1.0% |

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