diff --git a/src/warehouse/index.js b/src/warehouse/index.js
index f62f02af79..3c2b04079d 100644
--- a/src/warehouse/index.js
+++ b/src/warehouse/index.js
@@ -208,6 +208,23 @@ function setDataFromInputAndComputeColumnTypes(
   level = 0,
 ) {
   if (!input || !isObject(input)) return;
+  if (
+    (completePrefix.endsWith('context_traits_') || completePrefix === 'group_traits_') &&
+    isStringLikeObject(input)
+  ) {
+    if (prefix === 'context_traits_') {
+      appendColumnNameAndType(
+        utils,
+        eventType,
+        `${prefix}`,
+        stringLikeObjectToString(input),
+        output,
+        columnTypes,
+        options,
+      );
+    }
+    return;
+  }
   Object.keys(input).forEach((key) => {
     const isValidLegacyJSONPath = isValidLegacyJsonPathKey(
       eventType,
@@ -272,6 +289,60 @@ function setDataFromInputAndComputeColumnTypes(
   });
 }
 
+function isNonNegativeInteger(str) {
+  if (str.length === 0) return false;
+  for (let i = 0; i < str.length; i++) {
+    const charCode = str.charCodeAt(i);
+    if (charCode < 48 || charCode > 57) return false;
+  }
+  return true;
+}
+
+function isStringLikeObject(obj) {
+  if (typeof obj !== 'object' || obj === null) return false;
+
+  const keys = Object.keys(obj);
+  if (keys.length === 0) return false;
+
+  let minKey = Infinity;
+  let maxKey = -Infinity;
+
+  for (let i = 0; i < keys.length; i++) {
+    const key = keys[i];
+    const value = obj[key];
+
+    if (!isNonNegativeInteger(key)) return false;
+    if (typeof value !== 'string' || value.length !== 1) return false;
+
+    const numKey = parseInt(key, 10);
+    if (numKey < minKey) minKey = numKey;
+    if (numKey > maxKey) maxKey = numKey;
+  }
+
+  for (let i = minKey; i <= maxKey; i++) {
+    if (!keys.includes(i.toString())) return false;
+  }
+
+  return (minKey === 0 || minKey === 1) && maxKey - minKey + 1 === keys.length;
+}
+
+function stringLikeObjectToString(obj) {
+  if (!isStringLikeObject(obj)) {
+    return obj; // Return the original input if it's not a valid string-like object
+  }
+
+  const keys = Object.keys(obj)
+    .map(Number)
+    .sort((a, b) => a - b);
+  let result = '';
+
+  for (let i = 0; i < keys.length; i++) {
+    result += obj[keys[i].toString()];
+  }
+
+  return result;
+}
+
 /*
  * uuid_ts and loaded_at datatypes are passed from here to create appropriate columns.
  * Corresponding values are inserted when loading into the warehouse
diff --git a/test/__tests__/warehouse.test.js b/test/__tests__/warehouse.test.js
index 2c89120686..83b24aee15 100644
--- a/test/__tests__/warehouse.test.js
+++ b/test/__tests__/warehouse.test.js
@@ -1233,4 +1233,191 @@ describe("isBlank", () => {
       expect(isBlank(testCase.input)).toEqual(testCase.expected);
     });
   }
-});
\ No newline at end of file
+});
+
+describe("context traits", () => {
+  const testCases = [
+    {
+      name: "traits with string like object",
+      input: {"1":"f","2":"o", "3":"o"},
+      expectedData: "foo",
+      expectedMetadata: "string",
+      expectedColumns: ["context_traits"],
+    },
+    {
+      name: "traits with string like object with missing keys",
+      input: {"1":"a","3":"a"},
+      expectedData: "a",
+      expectedMetadata: "string",
+      expectedColumns: ["context_traits_1", "context_traits_3"],
+    },
+    {
+      name: "traits with empty object",
+      input: {},
+      expectedData: {},
+      expectedColumns: [],
+    },
+    {
+      name: "traits with empty array",
+      input: [],
+      expectedData: [],
+      expectedMetadata: "array",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with null",
+      input: null,
+      expectedData: null,
+      expectedMetadata: "null",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with undefined",
+      input: undefined,
+      expectedData: undefined,
+      expectedMetadata: "undefined",
+      expectedColumns: [],
+      groupTypeColumns: []
+    },
+    {
+      name: "traits with string",
+      input: "already a string",
+      expectedData: "already a string",
+      expectedMetadata: "string",
+      expectedColumns: ["context_traits"],
+    },
+    {
+      name: "traits with number",
+      input: 42,
+      expectedData: 42,
+      expectedMetadata: "int",
+      expectedColumns: ["context_traits"],
+    },
+    {
+      name: "traits with boolean",
+      input: true,
+      expectedData: true,
+      expectedMetadata: "boolean",
+      expectedColumns: ["context_traits"],
+    },
+    {
+      name: "traits with array",
+      input: ["a", "b", "cd"],
+      expectedData: ["a", "b", "cd"],
+      expectedMetadata: "string",
+      expectedColumns: ["context_traits"],
+    }
+  ];
+  for (const t of testCases) {
+    it(`should return ${t.expectedData} for ${t.name}`, () => {
+      for (const e of eventTypes) {
+        let i = input(e);
+        i.message.context = {"traits": t.input};
+        if (i.metadata) delete i.metadata.sourceCategory;
+        transformers.forEach((transformer, index) => {
+          const received = transformer.process(i);
+          if(t.expectedColumns.length === 0) {
+            expect(Object.keys(received[0].metadata.columns).join()).not.toMatch(/context_traits/g);
+            expect(Object.keys(received[0].data).join()).not.toMatch(/context_traits/g);
+          }
+          for (const column of t.expectedColumns) {
+            expect(received[0].metadata.columns[integrationCasedString(integrations[index], column)]).toEqual(t.expectedMetadata);
+            expect(received[0].data[integrationCasedString(integrations[index], column)]).toEqual(t.expectedData);
+          }
+        });
+      }
+    });
+  }
+})
+
+describe("group traits", () => {
+  const testCases = [
+    {
+      name: "traits with string like object",
+      input: {"1":"f","2":"o", "3":"o"},
+      expectedData: "foo",
+      expectedMetadata: "string",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with string like object with missing keys",
+      input: {"1":"a","3":"a"},
+      expectedData: "a",
+      expectedMetadata: "string",
+      expectedColumns: ["_1", "_3"],
+    },
+    {
+      name: "traits with empty object",
+      input: {},
+      expectedData: {},
+      expectedColumns: [],
+    },
+    {
+      name: "traits with empty array",
+      input: [],
+      expectedData: [],
+      expectedMetadata: "array",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with null",
+      input: null,
+      expectedData: null,
+      expectedMetadata: "null",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with undefined",
+      input: undefined,
+      expectedData: undefined,
+      expectedMetadata: "undefined",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with string",
+      input: "already a string",
+      expectedData: "already a string",
+      expectedMetadata: "string",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with number",
+      input: 42,
+      expectedData: 42,
+      expectedMetadata: "int",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with boolean",
+      input: true,
+      expectedData: true,
+      expectedMetadata: "boolean",
+      expectedColumns: [],
+    },
+    {
+      name: "traits with array",
+      input: ["a", "b", "cd"],
+      expectedData: ["a", "b", "cd"],
+      expectedMetadata: "string",
+      expectedColumns: [],
+    }
+  ];
+  for (const t of testCases){
+    it(`should return ${t.expectedData} for ${t.name}`, () => {
+      let i = input("group");
+      i.message.traits = t.input;
+      if (i.metadata) delete i.metadata.sourceCategory;
+      transformers.forEach((transformer, index) => {
+        const received = transformer.process(i);
+        if(t.expectedColumns.length === 0) {
+          expect(Object.keys(received[0].metadata.columns).join()).not.toMatch(/group_traits/g);
+          expect(Object.keys(received[0].data).join()).not.toMatch(/group_traits/g);
+        }
+        for (const column of t.expectedColumns) {
+          expect(received[0].metadata.columns[integrationCasedString(integrations[index], column)]).toEqual(t.expectedMetadata);
+          expect(received[0].data[integrationCasedString(integrations[index], column)]).toEqual(t.expectedData);
+        }
+      });
+    });
+  }
+})